{"as_of":"2026-08-10T05:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:678fb0cf2944d924b51f499b76e71d4c399477cc0e7461a721c4176c4bbdb3cf","coverage":[{"denominator":78,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":78,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T11:16:35.145236Z","state":"measured"},{"denominator":84,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":84,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T18:33:38.082456Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T20:10:07.269787Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"cited_work":{"arxiv_id":"2506.06361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06361","snapshot_observed_at":"2026-07-04T20:10:07.269787Z","title":"Tactile mnist: Benchmarking active tactile perception.arXiv preprint arXiv:2506.06361","venue":null,"work_id":"42b150fd-51b9-41c3-a7ff-a3c8c861ca32","year":2025},"citing_paper":{"arxiv_id":"2505.06182","last_updated":"2026-05-11T11:32:23Z","snapshot_observed_at":"2026-07-06T21:21:34.139885Z","submitted_at":"2025-05-09T16:49:26Z","title":"Apple: Toward General Active Perception via Reinforcement Learning","version":6},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-22T15:33:18.848624Z"},"links":{"cited_paper":"/paper/2506.06361","citing_paper":"/paper/2505.06182"},"observation_digest":"sha256:f7303c8bdc9a82124f0c358fdd219e4080639f9714454c8af90bb29fef23dfa0","observation_id":"d83e9ba4-156c-4725-a5a9-8d4414beb995","resolution":{"observed_at":"2026-05-22T15:34:57.540885Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"cited_work":{"arxiv_id":"2506.06361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06361","snapshot_observed_at":"2026-07-04T20:10:07.269787Z","title":"Tactile mnist: Benchmarking active tactile perception.arXiv preprint arXiv:2506.06361","venue":null,"work_id":"42b150fd-51b9-41c3-a7ff-a3c8c861ca32","year":2025},"citing_paper":{"arxiv_id":"2511.07797","last_updated":"2026-04-08T22:59:46Z","snapshot_observed_at":"2026-07-06T22:35:27.050353Z","submitted_at":"2025-11-11T03:29:18Z","title":"Characterizing the Resilience and Sensitivity of Polyurethane Vision-Based Tactile Sensors","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T00:22:23.432070Z"},"links":{"cited_paper":"/paper/2506.06361","citing_paper":"/paper/2511.07797"},"observation_digest":"sha256:68fcac4fadc8919f0aa0e560380351f0b472d82e66d89cfe63e643ada250097e","observation_id":"a5756a3e-7e6f-44e1-8eb0-c8d8c4e81964","resolution":{"observed_at":"2026-05-18T00:25:33.064937Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.06361","snapshot_observed_at":"2026-08-02T18:33:38.082456Z","title":"Tactile mnist: Benchmarking active tactile perception.arXiv preprint arXiv:2506.06361, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.08560","last_updated":"2026-07-21T01:32:35Z","snapshot_observed_at":"2026-08-04T13:44:31.501469Z","submitted_at":"2026-03-09T16:20:49Z","title":"CONTACT: CONtact-aware TACTile Learning for Robotic Disassembly","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T18:33:38.082456Z"},"links":{"cited_paper":"/paper/2506.06361","citing_paper":"/paper/2603.08560"},"observation_digest":"sha256:db1b37ba60da13cfadcb790bf5391bd8d5da58ccdd2145d0492ab10043feac62","observation_id":"211f4ac4-04ef-40f3-a817-5fd5061c1f14","resolution":{"observed_at":"2026-08-02T18:33:38.082456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"cited_work":{"arxiv_id":"2506.06361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06361","snapshot_observed_at":"2026-07-04T20:10:07.269787Z","title":"Tactile mnist: Benchmarking active tactile perception.arXiv preprint arXiv:2506.06361","venue":null,"work_id":"42b150fd-51b9-41c3-a7ff-a3c8c861ca32","year":2025},"citing_paper":{"arxiv_id":"2605.07943","last_updated":"2026-05-08T16:11:13Z","snapshot_observed_at":"2026-08-01T19:01:21.920767Z","submitted_at":"2026-05-08T16:11:13Z","title":"TAVIS: A Benchmark for Egocentric Active Vision and Anticipatory Gaze in Imitation Learning","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-05-11T03:05:05.527073Z"},"links":{"cited_paper":"/paper/2506.06361","citing_paper":"/paper/2605.07943"},"observation_digest":"sha256:a34fa2e7fe8f7d6e856d4e470c1af8cf21e6a97bdfd1fb27025cb1d4119ab91a","observation_id":"4b7db9b3-1ca1-404b-a609-803b4d710228","resolution":{"observed_at":"2026-05-11T03:05:53.102079Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"cited_work":{"arxiv_id":"2506.06361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06361","snapshot_observed_at":"2026-07-04T20:10:07.269787Z","title":"Tactile mnist: Benchmarking active tactile perception.arXiv preprint arXiv:2506.06361","venue":null,"work_id":"42b150fd-51b9-41c3-a7ff-a3c8c861ca32","year":2025},"citing_paper":{"arxiv_id":"2605.21976","last_updated":"2026-05-21T04:11:03Z","snapshot_observed_at":"2026-07-06T23:32:20.708664Z","submitted_at":"2026-05-21T04:11:03Z","title":"TacO: Benchmarking Tactile Sensors for Object Manipulation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-22T05:46:14.233407Z"},"links":{"cited_paper":"/paper/2506.06361","citing_paper":"/paper/2605.21976"},"observation_digest":"sha256:43421fb4a5d690daf816e9b2a5c1a2ac676ef2de57bd743e59661e121d5be3e7","observation_id":"410346f2-242a-452c-99e3-9cf67b13cb9b","resolution":{"observed_at":"2026-05-22T05:51:09.336849Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"cited_work":{"arxiv_id":"2506.06361","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06361","snapshot_observed_at":"2026-07-04T20:10:07.269787Z","title":"Tactile mnist: Benchmarking active tactile perception.arXiv preprint arXiv:2506.06361","venue":null,"work_id":"42b150fd-51b9-41c3-a7ff-a3c8c861ca32","year":2025},"citing_paper":{"arxiv_id":"2606.25877","last_updated":"2026-06-24T14:22:48Z","snapshot_observed_at":"2026-08-06T17:47:53.975873Z","submitted_at":"2026-06-24T14:22:48Z","title":"TacVerse: A Multi-Sensor Dataset and Benchmark for Cross-Sensor Vision-Based Tactile Perception","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-25T20:43:14.485103Z"},"links":{"cited_paper":"/paper/2506.06361","citing_paper":"/paper/2606.25877"},"observation_digest":"sha256:65e31a9c76adecfcc30ea625205497bd22b226d41a4862cbcaf7475444462e47","observation_id":"72eff6c0-7a49-4d00-82a4-7a2c4bb16ffe","resolution":{"observed_at":"2026-07-04T20:10:07.272029Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.06361/citation-record","integrity":"/paper/2506.06361/integrity","json":"/paper/2506.06361/citation-record.json","paper":"/paper/2506.06361"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T11:16:28.953626Z","title":"The mnist database of handwritten digits.http://yann","venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:28.953626Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:384c199b49bf520b66d8e8627bd137497edc12560181a3a126d3d77622c45ba2","observation_id":"ba1be2ff-3b24-4c1f-a384-a3235a17c8f1","resolution":{"observed_at":"2026-08-07T11:16:28.953626Z","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":"2026-08-07T11:16:29.002282Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.002282Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:1de7244a4449eb59b17c832faf5567791e3b842f956e317f83ab336922f0c00c","observation_id":"87a145b9-7401-4dc8-aaca-c4bbf21aa61b","resolution":{"observed_at":"2026-08-07T11:16:29.002282Z","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":"2026-08-07T11:16:29.054737Z","title":"Tiny imagenet visual recognition challenge.CS 231N, 7(7):3, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.054737Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:4ec2fdbeb3c5a8f280e35cee99b9b2e11f0c8540367c66eb0e0d68f897a0e69f","observation_id":"3cd8602d-165a-443a-8f0e-e16f49b92145","resolution":{"observed_at":"2026-08-07T11:16:29.054737Z","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":"2026-08-07T11:16:45.284615Z","title":"Coding and use of tactile signals from the fingertips in object manipulation tasks.Nature Reviews Neuroscience, 10(5):345–359, 2009","venue":null,"work_id":"337938ab-4d1a-493a-96af-d694ce9b46e6","year":2009},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.125458Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:00eec04ff2674e89b25be04e4daffba29aca3e9e949e6d7b8ba99b7a3868ed2d","observation_id":"e7b53229-4fdd-48de-aceb-c0a66bfa9766","resolution":{"observed_at":"2026-08-07T11:16:45.416477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:45.095837Z","title":"Hand movements: A window into haptic object recognition.Cognitive psychology, 19(3):342–368, 1987","venue":null,"work_id":"f3f50db5-0e73-4c8a-a4c7-efd83a75cad4","year":1987},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.179272Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:0190f8e4310e6cf69c86545aaeacf58da9ea37fac6d9ca896e6e02fa3cbf5510","observation_id":"606df844-d3d9-4f32-b6ad-7377f0a797b4","resolution":{"observed_at":"2026-08-07T11:16:45.181031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:44.890314Z","title":"Prescott, Mathew E","venue":null,"work_id":"636b048a-c9f2-470a-a026-21019f4b81f1","year":2011},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.244233Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:d2abdfb09ab2cd89585337b0a075151c5e36872c1d1e4415861eacdde34fb638","observation_id":"6fd3e202-e5b4-4c46-8ff1-729c0546d692","resolution":{"observed_at":"2026-08-07T11:16:44.985210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:44.710126Z","title":"Boehm, T","venue":null,"work_id":"ebf5dd23-754e-4179-9207-3f0e7764997e","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.316040Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:7cfcb87236f0f2b8cb1f93ebe5b07b09c20a15a6812f603afd6a1999cb047fd5","observation_id":"4128bce3-919f-41d0-bf64-323f94185549","resolution":{"observed_at":"2026-08-07T11:16:44.808151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:44.556951Z","title":"Learning efficient haptic shape exploration with a rigid tactile sensor array.PloS one, 15(1):e0226880, 2020","venue":null,"work_id":"5c8f5939-ec32-4125-bb91-4e1fb995fe56","year":2020},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.372147Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:db4596c6ab719d519ced253902efc2e831ece09a39059217c387d46ba284b9e6","observation_id":"c27261c5-acbc-4594-b69f-ae4e058cf9dd","resolution":{"observed_at":"2026-08-07T11:16:44.622334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:44.397167Z","title":"Tandem: Learning joint exploration and decision making with tactile sensors.IEEE Robotics and Automation Letters, 7(4):10391–10398, 2022","venue":null,"work_id":"c167fc7a-58e9-44b6-922c-6f929e13b203","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.435524Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:c5166f24364000050769debd5fe2c2de6b5f69f06c17fa8cc27e60a0b6b6a475","observation_id":"b3c72525-1ac2-408c-9d14-27d18c4ececb","resolution":{"observed_at":"2026-08-07T11:16:44.457848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:44.195104Z","title":"Active tactile object exploration with gaussian processes","venue":null,"work_id":"b7a79c1d-880d-444b-824c-2529d690cfbf","year":2016},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.498281Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:a370387042cacf9f7c69d8af08b6626b9fb6d0e7ec900026ef531badc84b2094","observation_id":"39cea222-a8df-4027-a586-04f042e806d2","resolution":{"observed_at":"2026-08-07T11:16:44.305518Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:43.997562Z","title":"Enhancing visual perception of shape through tactile glances","venue":null,"work_id":"afa7e963-2f14-4676-b765-d870fb69c068","year":2013},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.589530Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:8432c84ebe4ad7b7ca7b91f30b9117ba69c2161f8b32476107697008c4e0d171","observation_id":"5582b3e1-af0e-40e5-ba8e-a5c07b5d22d5","resolution":{"observed_at":"2026-08-07T11:16:44.083930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:43.830439Z","title":"Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation.IEEE Trans","venue":null,"work_id":"7e31d60a-d409-49ae-a2e4-87ce69dea48e","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.652929Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:5ec31cae12d5b0cfa4cc1fbc9104a092b019fb22b4e8d765223f2155af2133d7","observation_id":"cae13205-2945-4429-97c1-c54b191f0f67","resolution":{"observed_at":"2026-08-07T11:16:43.900861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.13042","last_updated":"2023-07-31T17:47:27Z","snapshot_observed_at":"2026-07-06T13:56:34.336341Z","submitted_at":"2022-09-26T21:50:39Z","title":"Self-Supervised Visuo-Tactile Pretraining to Locate and Follow Garment Features","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.13042","snapshot_observed_at":"2026-08-07T11:16:29.703479Z","title":"Self-supervised visuo-tactile pretraining to locate and follow garment features.arXiv preprint arXiv:2209.13042, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.703479Z"},"links":{"cited_paper":"/paper/2209.13042","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:863ce3fa84b6bb788fa99abe4feb38732b89bc87860ebe996094b74d26eef9a6","observation_id":"2609da5b-2dcb-4b28-a8b8-6ad6c880c810","resolution":{"observed_at":"2026-08-07T11:16:29.703479Z","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":"2026-08-07T11:16:43.703423Z","title":"Sparsh: Self-supervised touch representations for vision-based tactile sensing","venue":null,"work_id":"4d09a6dd-bc2a-4284-8d6e-2697634c5a66","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.765056Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:b032a31b6d44bea73ad0e0a6f74d8c6162bf7bc5f339f005e91504565435be5a","observation_id":"8a9f48e0-0107-46c3-9743-9dfdb3830c24","resolution":{"observed_at":"2026-08-07T11:16:43.752193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:29.816880Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.816880Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:99d9b85466eaa3bb5b05e3dea297bb853eaac3e5b21c02492fae14fcb5c06912","observation_id":"1292f540-2b55-4daa-ad53-d88d9fe92f0c","resolution":{"observed_at":"2026-08-07T11:16:29.816880Z","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":"2026-08-07T11:16:29.899890Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.899890Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:d2332631ff8d556e050792c707fc9f0b16084a1dfbe887df20eb94f0b5b7467e","observation_id":"59095c37-e6ea-4709-b258-1b1189e842de","resolution":{"observed_at":"2026-08-07T11:16:29.899890Z","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":"2026-08-07T11:16:43.487992Z","title":"Are we ready for autonomous driving? the kitti vision benchmark suite","venue":null,"work_id":"2558d8f6-09ce-40a6-bd22-81f37048eb00","year":2012},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:29.971802Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:e12cd5c4b1b1faa4e5cf5855798ef3f47a25c9d46e9c4e328ed3519fe21a2221","observation_id":"8d53732f-b5e2-437c-85be-6413b08886e4","resolution":{"observed_at":"2026-08-07T11:16:43.569502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:43.300600Z","title":"Omni3d: A large benchmark and model for 3d object detection in the wild","venue":null,"work_id":"d0540387-ef35-488c-8a23-1766788d551e","year":2023},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.034264Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:050845ca67ac526b772cac72f675da156fe7bfb9e9accbd450efbf4124f6567c","observation_id":"38e3d311-c2dc-4f49-87d4-d52ed8a5e5ae","resolution":{"observed_at":"2026-08-07T11:16:43.390421Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:30.105765Z","title":"Neuralfeels with neural fields: Visuotactile perception for in-hand manipulation.Science Robotics, 9(96):eadl0628, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.105765Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:a3754e9a05e4f0e9d63ff872ffc16c6b618b7bdc1a51ad8e1da0e35a2b8d4650","observation_id":"bfa85e7f-8ad1-4c62-b75f-06f12277ea4a","resolution":{"observed_at":"2026-08-07T11:16:30.105765Z","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":"2026-08-07T11:16:43.152270Z","title":"Actexplore: Active tactile exploration on unknown objects","venue":null,"work_id":"85d5eaac-8782-45c2-9674-280804fad238","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.160090Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:de4e1cc711dd964ffe91050cece0f25b518a31c076a5adc54b662cb7223d80dc","observation_id":"0443090a-fd79-4f7e-ab2c-29ca79fad763","resolution":{"observed_at":"2026-08-07T11:16:43.223589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17032","last_updated":"2025-11-02T13:42:19Z","snapshot_observed_at":"2026-07-06T18:51:06.750136Z","submitted_at":"2024-07-24T06:35:05Z","title":"Gymnasium: A Standard Interface for Reinforcement Learning Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17032","snapshot_observed_at":"2026-08-07T11:16:30.209484Z","title":"Gymnasium: A standard interface for reinforcement learning environments.arXiv preprint arXiv:2407.17032, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.209484Z"},"links":{"cited_paper":"/paper/2407.17032","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:55f8e0a8e5efe12aeb8662d0ec194c3d0833c9d418691d81937f33ccb9736b45","observation_id":"95ce3b5c-d7d8-4a83-8696-fd9098e0046b","resolution":{"observed_at":"2026-08-07T11:16:30.209484Z","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":"2026-08-07T11:16:30.257265Z","title":"Gelsight: High-resolution robot tactile sensors for estimating geometry and force.Sensors, 17(12):2762, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.257265Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:4b144d91db32a17bfcda1c10172d296d0b9da3326eb97d442bda404ebd0f7bea","observation_id":"0178e98d-f422-4e56-9a13-a96da6afff87","resolution":{"observed_at":"2026-08-07T11:16:30.257265Z","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":"2026-08-07T11:16:43.002962Z","title":null,"venue":null,"work_id":"b1b00929-71c2-4475-a2dc-3850e2098575","year":2020},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.310351Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:06640b5ea5dcad99375eefa02e4f93addb0de72664267b0e0217e6f959127639","observation_id":"7d07926b-d7a3-4156-b3a3-800f57bd925a","resolution":{"observed_at":"2026-08-07T11:16:43.079600Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:42.823752Z","title":"Aiding grasp synthesis for novel objects using heuristic-based and data-driven active vision methods.Frontiers in Robotics and AI, 8:696587, 2021","venue":null,"work_id":"166a865c-7737-435e-a7c2-537bace52beb","year":2021},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.314913Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:5bd2cd184b9f7577e6fa1a7710559d283a11ecf608faafca4ca3426ac3b536f4","observation_id":"3af86ba1-f24b-4ca0-abd1-3946b9a0e765","resolution":{"observed_at":"2026-08-07T11:16:42.904446Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:42.686271Z","title":"A real 3d embodied dataset for robotic active visual learning.IEEE Robotics and Automation Letters, 7(3):6646–6652, 2022","venue":null,"work_id":"134ea285-a60c-44b3-84b5-5435cb240799","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.448050Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:c233ed9b8b251b482fe19dd1781355ac0930cd3a883aefb9d37b6bf7e204b635","observation_id":"d137970a-2482-434a-bacf-7b2f2bba6505","resolution":{"observed_at":"2026-08-07T11:16:42.749440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.05246","last_updated":"2020-09-11T06:17:44Z","snapshot_observed_at":"2026-08-05T07:19:52.865072Z","submitted_at":"2020-09-11T06:17:44Z","title":"The Robotic Vision Scene Understanding Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.05246","snapshot_observed_at":"2026-08-07T11:16:30.553210Z","title":"The robotic vision scene understanding challenge.arXiv preprint arXiv:2009.05246, 2020","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.553210Z"},"links":{"cited_paper":"/paper/2009.05246","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:3e89ed2704a383b120affa86826971c7b5c9b8fedfc79c6415307f3af978f584","observation_id":"42e5e3ab-7db7-4fde-9f1a-92cd87bcc980","resolution":{"observed_at":"2026-08-07T11:16:30.553210Z","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":"2026-08-07T11:16:42.561174Z","title":"Next best view planning in a single glance: An approach to improve object recognition.SN Computer Science, 4(1):51, 2022","venue":null,"work_id":"e129b283-3032-4722-9aaa-d100f8097f63","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.649599Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:3c71143dc391f18b1ed17871c29f37112f045ef013d83504ced3f9a67b17c7d7","observation_id":"33dba0bc-f7c9-42ba-af1c-e4fc7fe04e02","resolution":{"observed_at":"2026-08-07T11:16:42.620043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:42.413568Z","title":null,"venue":null,"work_id":"52ecd278-547e-4766-9f7b-2a67c03a9c9b","year":2017},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.704283Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:ae0b40acf9dfb412c8cd5ea129b77ac1bb0cfa76bfc6079ed0d1890f52e17c87","observation_id":"fd279a14-141b-44c6-b41e-5478bc488bee","resolution":{"observed_at":"2026-08-07T11:16:42.485581Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:42.234176Z","title":"Active vision dataset benchmark","venue":null,"work_id":"28a18981-f21b-4a83-b61e-14f49dbd62cb","year":2018},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.815072Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:99917570e005ebeebea920021bb9d88fc62ea3fac29e1185c6d65caee0e0e7a7","observation_id":"8f16dc5f-47ef-4874-ad9a-6613b1c6ce93","resolution":{"observed_at":"2026-08-07T11:16:42.323753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:42.030124Z","title":"Active object search","venue":null,"work_id":"4dcdae2b-7ecc-4f7d-828d-20ada09832b3","year":2020},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:30.886159Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:0f9ee6e1db88f46471576bf2f82aa9863fe08146268ced1136e7d5331477167c","observation_id":"d4ea7043-f9d8-4736-bc42-15beb60932cc","resolution":{"observed_at":"2026-08-07T11:16:42.115141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:41.826783Z","title":"Actiview: Evaluating active perception ability for multimodal large language models, 2024","venue":null,"work_id":"a3319eaf-337e-4eaa-ad42-6fe7248d3fe2","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.025234Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:9a154dea3a82ad08e888bb1fb4f367dd989593117ba37d53037a03d0a6a7d62d","observation_id":"82ae700c-0d23-4ae0-8919-671ca37237c8","resolution":{"observed_at":"2026-08-07T11:16:41.910082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:41.676954Z","title":"The tip benchmark: A tactile image-based psychophysics-inspired benchmark for artificial tactile sensors","venue":null,"work_id":"8a24f2bb-31a4-49da-8661-8ea48b1d22d8","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.114542Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:79412d907b487dca0037c9580f794f4118d151552e29cd18ec9cf273b6421754","observation_id":"b000ec36-6b88-4be1-b83b-53319a77a8f7","resolution":{"observed_at":"2026-08-07T11:16:41.732319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:41.505402Z","title":null,"venue":null,"work_id":"d9744edc-ecff-410d-8fe8-d6c224f00ed8","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.225985Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:49af2e10f70833475b97d714afa9b89218073c44191c4130c8dc66a51b1e3ef5","observation_id":"44db52e3-d3af-4a15-af91-5803d8d07389","resolution":{"observed_at":"2026-08-07T11:16:41.609986Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:41.149155Z","title":"Midas- Touch: Monte-Carlo inference over distributions across sliding touch","venue":null,"work_id":"c32764e1-67b5-4df1-8a24-c228fc9e0542","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.299931Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:ddbc7086fb9a666a3a4002e9a26bb28c7ecb14f45c25fbe0c59081ebbd865f5d","observation_id":"bc9a0b46-3346-4fa1-8e60-7d32b540412c","resolution":{"observed_at":"2026-08-07T11:16:41.310697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:40.804032Z","title":"Active clothing material perception using tactile sensing and deep learning","venue":null,"work_id":"fc1745a6-85fa-401a-a033-361c418567fb","year":2018},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.416977Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:23b7ac3d5f3ed2a64cdefd4a486310e30313630b5a010fb90b63980f04fe8f42","observation_id":"87b64f1d-2e47-4c2f-ae60-defcbbc2bcbf","resolution":{"observed_at":"2026-08-07T11:16:40.958778Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.12498","last_updated":"2022-11-29T16:39:06Z","snapshot_observed_at":"2026-08-09T07:17:13.271866Z","submitted_at":"2022-11-22T18:59:32Z","title":"Touch and Go: Learning from Human-Collected Vision and Touch","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.12498","snapshot_observed_at":"2026-08-07T11:16:31.502330Z","title":"Touch and go: Learning from human-collected vision and touch.arXiv preprint arXiv:2211.12498, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.502330Z"},"links":{"cited_paper":"/paper/2211.12498","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:4bae41b0af2b4f8240f4aebfcca54ea8178637c4540257aaf694a41ff8cb144f","observation_id":"d29e6a56-dea7-4c2f-9db1-3ca39dd15798","resolution":{"observed_at":"2026-08-07T11:16:31.502330Z","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":"2026-08-07T11:16:40.541241Z","title":"Vitac: Feature sharing between vision and tactile sensing for cloth texture recognition","venue":null,"work_id":"4b07a262-33be-45b6-8e9e-bf4e14211115","year":2018},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.597800Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:0b0d1d7a3b961f840a3706fc12d3870779242b2292779ab2dde6c046152ca92b","observation_id":"d12c4fe0-39df-44b9-9467-7d0923fc4967","resolution":{"observed_at":"2026-08-07T11:16:40.666058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:40.175725Z","title":"Connecting look and feel: Associating the visual and tactile properties of physical materials","venue":null,"work_id":"66323da9-5276-4838-8aa9-89562a871dc6","year":2017},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.673201Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:e97d1b876474d52241f5515d32bb68fb0b7693eece6c831c0c32c75ef7fe92e0","observation_id":"eda75ade-1441-45fe-99b9-98df0443d1db","resolution":{"observed_at":"2026-08-07T11:16:40.330257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:39.947459Z","title":"Connecting touch and vision via cross-modal prediction","venue":null,"work_id":"81311339-a38f-49f4-9716-77b6d7e2c19a","year":2019},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.760901Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:be26e5ecb2c1aa7803ccbc1cded30f682c6252638c78ce1c7d5b496db15d051b","observation_id":"32a234c0-2a07-4437-b1d5-18e9886b0a79","resolution":{"observed_at":"2026-08-07T11:16:40.042400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02794","last_updated":"2024-06-05T01:40:36Z","snapshot_observed_at":"2026-08-07T22:53:14.214309Z","submitted_at":"2024-05-05T02:22:11Z","title":"Octopi: Object Property Reasoning with Large Tactile-Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.02794","snapshot_observed_at":"2026-08-07T11:16:31.846321Z","title":"Octopi: Object property reasoning with large tactile-language models.arXiv preprint arXiv:2405.02794, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.846321Z"},"links":{"cited_paper":"/paper/2405.02794","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:72ed5bd366a90e87780db165ce78d881cfefc9de32f81f9fe1ac03b455d4100b","observation_id":"e8d0dae3-6edf-4a85-af24-3e782dadae93","resolution":{"observed_at":"2026-08-07T11:16:31.846321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13232","last_updated":"2024-02-20T18:47:56Z","snapshot_observed_at":"2026-08-09T22:59:03.736070Z","submitted_at":"2024-02-20T18:47:56Z","title":"A Touch, Vision, and Language Dataset for Multimodal Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13232","snapshot_observed_at":"2026-08-07T11:16:31.917970Z","title":"A touch, vision, and language dataset for multimodal alignment.arXiv preprint arXiv:2402.13232, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.917970Z"},"links":{"cited_paper":"/paper/2402.13232","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:6576b9ba1f6ce769d65af631b2d967f17dad7e1cd336c1ae8579acd512964329","observation_id":"4f22ebe4-ecc7-4fe6-9693-bf0d04947b89","resolution":{"observed_at":"2026-08-07T11:16:31.917970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03813","last_updated":"2024-06-06T07:37:57Z","snapshot_observed_at":"2026-07-06T18:26:19.664486Z","submitted_at":"2024-06-06T07:37:57Z","title":"Touch100k: A Large-Scale Touch-Language-Vision Dataset for Touch-Centric Multimodal Representation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03813","snapshot_observed_at":"2026-08-07T11:16:31.983941Z","title":"Touch100k: A large-scale touch-language-vision dataset for touch-centric multimodal representation.arXiv preprint arXiv:2406.03813, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:31.983941Z"},"links":{"cited_paper":"/paper/2406.03813","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:f9a6d6d02fb7cc5d45473650e85ba3b268903f5fc277475b04d28a605eba2fce","observation_id":"cd3ef20d-8bd9-46dc-954c-a15a68cfa0af","resolution":{"observed_at":"2026-08-07T11:16:31.983941Z","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":"2026-08-07T11:16:39.781086Z","title":"The objectfolder benchmark: Multisensory learning with neural and real objects","venue":null,"work_id":"50f3e75e-ec63-463e-9f96-8c100ce6e8ab","year":2023},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.055721Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:5dbc7d2d2c9cd6a14a115dd14903632b294449fe4dff979ee4fa9eea2f759403","observation_id":"c5826cc3-86f4-42bc-bb18-671d1999f1ed","resolution":{"observed_at":"2026-08-07T11:16:39.860504Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:39.614766Z","title":"Objectfolder 2.0: A multisensory object dataset for sim2real transfer","venue":null,"work_id":"7ba204fc-54f9-42e3-8dea-b842878ad6d7","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.164364Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:188694f64f82ceefe39f2666df68c20be806cda12b540026f1b4ae0a9ec871ea","observation_id":"428a49d6-3cf6-4897-973c-b8c7fd96c452","resolution":{"observed_at":"2026-08-07T11:16:39.695575Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.07991","last_updated":"2021-11-08T00:54:20Z","snapshot_observed_at":"2026-08-09T02:45:56.892525Z","submitted_at":"2021-09-16T14:00:59Z","title":"ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07991","snapshot_observed_at":"2026-08-07T11:16:32.268073Z","title":"Objectfolder: A dataset of objects with implicit visual, auditory, and tactile representations.arXiv preprint arXiv:2109.07991, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.268073Z"},"links":{"cited_paper":"/paper/2109.07991","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:9f5c900907b538b45c7851f92f4cd3972eb3ac1d6402e93e592eef8f8fd03a87","observation_id":"4946a083-b6d3-450a-b0a8-eb79f8c5b549","resolution":{"observed_at":"2026-08-07T11:16:32.268073Z","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":"2026-08-07T11:16:39.344839Z","title":"Digit: A novel design for a low-cost compact high-resolution tactile sensor with application to in-hand manipulation.IEEE Robotics and Automation Letters, 5(3):3838–3845, 2020","venue":null,"work_id":"1e3199b5-273b-4141-92a6-742a31bc365b","year":2020},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.332278Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:dc9f403cf6492dedcd9de6ebde7a041551c3d8a32db3c09ad00bf4975168bba4","observation_id":"b9a497d9-ba4c-450f-ab6a-fccbd5d3ad66","resolution":{"observed_at":"2026-08-07T11:16:39.456840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10880","last_updated":"2023-03-27T11:52:20Z","snapshot_observed_at":"2026-07-06T15:05:31.386599Z","submitted_at":"2023-03-20T05:38:30Z","title":"Rotating without Seeing: Towards In-hand Dexterity through Touch","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10880","snapshot_observed_at":"2026-08-07T11:16:32.337070Z","title":"Rotating without seeing: Towards in-hand dexterity through touch.arXiv preprint arXiv:2303.10880, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.337070Z"},"links":{"cited_paper":"/paper/2303.10880","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:2ab1363a9fd2d6122575ac44082d242444d45f176cab48565eae799243e43285","observation_id":"9c4df75f-70a9-4060-8338-adaa19d2645b","resolution":{"observed_at":"2026-08-07T11:16:32.337070Z","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":"2026-08-07T11:16:39.153095Z","title":"General in-hand object rotation with vision and touch","venue":null,"work_id":"03c67963-4062-4f1a-8596-d587713f485f","year":2023},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.374069Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:0d9300394642bc3be95fb0b0f041b33afb4285f6c81496cfd8551f0d7f9a21d2","observation_id":"66dd70d0-4482-4d0b-80f0-5df11cf2bec8","resolution":{"observed_at":"2026-08-07T11:16:39.233601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:38.931756Z","title":"Active touch and robot perception.Cognition and Brain Theory, 7(2):199–214, 1984","venue":null,"work_id":"287e8456-54f0-4e97-97d0-ca93021780da","year":1984},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.435516Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:2b0ed14747e18292a8ca976a616de372285f05bed2325ef99f63550a1f0fedb8","observation_id":"faa92a92-6e45-4643-ab6e-4adf2300d435","resolution":{"observed_at":"2026-08-07T11:16:39.054123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:38.766655Z","title":"Revisiting active perception.Au- tonomous Robots, 42:177–196, 2018","venue":null,"work_id":"d98849e4-7474-419c-8652-296120387317","year":2018},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.503139Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:04d00ebaed3bd1c2413c91e00aa7381a1d06fec1c943f901a649aee384de5cf8","observation_id":"cf2fba59-fd7f-4d8d-a817-9a0da29992b9","resolution":{"observed_at":"2026-08-07T11:16:38.843435Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:38.635027Z","title":"Simultaneous tactile exploration and grasp refinement for unknown objects.IEEE Robotics and Automation Letters, 6(2):3349–3356, 2021","venue":null,"work_id":"896a0661-dc6e-4285-9709-e3103ec9fe5d","year":2021},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.565993Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:954f7908dab8afd44d2e5a9429b163c4c9cced17b61431ffdae38ef17d154f82","observation_id":"fe47766f-c30f-4878-b4d4-d15c9912abf2","resolution":{"observed_at":"2026-08-07T11:16:38.685251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:38.494178Z","title":"Active perception for tactile sensing: A task-agnostic attention-based approach, 2025","venue":null,"work_id":"290d8a58-6824-4f7c-b835-a2095189b3e4","year":2025},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.628982Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:d40e8abcc9b6950a65637f81c3fb61c09a9fb227eb731281220602a2fb038398","observation_id":"e154acb1-702e-41b2-b7d1-56e4a28a4f48","resolution":{"observed_at":"2026-08-07T11:16:38.557526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:38.369013Z","title":"Objectfolder 2.0: A multisensory object dataset for sim2real transfer","venue":null,"work_id":"783aac4a-c249-4db5-a232-116b8575d963","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.717286Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:ff81b80803b024790188856435724509bdf5d38c2149dea45c2c07dba6a73a84","observation_id":"e5cb5f7f-bae7-4dd3-92d7-13b81d0f8a96","resolution":{"observed_at":"2026-08-07T11:16:38.427959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:38.250239Z","title":"Tacto: A fast, flexible, and open-source simulator for high-resolution vision-based tactile sensors.IEEE Robotics and Automation Letters, 7(2):3930–3937, 2022","venue":null,"work_id":"9872ec57-6cff-4b16-8b55-1ce13dca4df3","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.787724Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:1b68667ae2acced2ac68f057239064cfb8ca7cdbc09db6b68201f0852092ef3d","observation_id":"5d6fd564-e071-4531-862d-3877c077b39c","resolution":{"observed_at":"2026-08-07T11:16:38.307555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:32.900245Z","title":"Taxim: An example-based simulation model for gelsight tactile sensors.IEEE Robotics and Automation Letters, 7(2):2361–2368, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.900245Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:7ef9a7efc7e2c6141736c24620a518ce2ea2761ba53f0f471b6752e14b4f30ce","observation_id":"0f991b4b-d7e7-4ad5-a20e-d18f9b3c0711","resolution":{"observed_at":"2026-08-07T11:16:32.900245Z","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":"2026-08-07T11:16:32.967008Z","title":"JAX: composable transformations of Python+NumPy programs, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:32.967008Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:3702c6128dd6ff01d5ad464ebabd8b8772f0a995965c3dc5c06e35ef4db9e80a","observation_id":"b17cd4b7-d6fa-4970-a87e-20102d4c6234","resolution":{"observed_at":"2026-08-07T11:16:32.967008Z","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":"2026-08-07T11:16:33.039329Z","title":"Pytorch: An imperative style, high-performance deep learning library","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.039329Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:2909ba3c8d858373c27349cedc5ecb8b7916fb1f5099fb18459c2316d7f1988d","observation_id":"afc581f8-aba6-42f9-9ad1-d2ad85819764","resolution":{"observed_at":"2026-08-07T11:16:33.039329Z","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":"2026-08-07T11:16:38.106949Z","title":"Bidirectional sim-to-real transfer for gelsight tactile sensors with cyclegan.IEEE Robotics and Automation Letters, 7(3):6187–6194, 2022","venue":null,"work_id":"6a3b8441-a84a-41ae-af94-db44184797ee","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.113929Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:c10f44efe06d450eaf57ee87e5b86b95169700d37d1de0008d5ad42f5e7f8680","observation_id":"edfdd8bc-7ba1-49b3-a126-d5334a0c094a","resolution":{"observed_at":"2026-08-07T11:16:38.158447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.980874Z","title":"Rosenthal","venue":null,"work_id":"80568b03-8366-420d-a70c-45eb3c68f37b","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.223445Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:980531e16a65cdef9f9747070233ed88ec9e01de296de7b84849631548365d96","observation_id":"0e9c31c3-6c93-40c8-b037-5283ea0e1df1","resolution":{"observed_at":"2026-08-07T11:16:38.049013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.850941Z","title":"Homepage, January 2025","venue":null,"work_id":"36491ac9-3143-41ee-9fb0-c228a932fb0d","year":2025},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.338658Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:870377dd56d4f6e6a93a1beaf41e60138704554aa151419da6464f59cce0000c","observation_id":"1e3bd6c4-a8a3-4487-a74b-8def81b88216","resolution":{"observed_at":"2026-08-07T11:16:37.904830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1812.05905","last_updated":"2019-01-29T12:10:47Z","snapshot_observed_at":"2026-08-01T15:24:35.515954Z","submitted_at":"2018-12-13T04:44:29Z","title":"Soft Actor-Critic Algorithms and Applications","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1812.05905","snapshot_observed_at":"2026-08-07T11:16:33.400347Z","title":"Soft actor-critic algorithms and applications.arXiv preprint arXiv:1812.05905, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.400347Z"},"links":{"cited_paper":"/paper/1812.05905","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:72534d49566f2e6264f7379cc863dedd4ecde50a8a819498c14d7ba203479be5","observation_id":"6ef4a9f5-5e2d-43ad-9ca8-34d9923dc354","resolution":{"observed_at":"2026-08-07T11:16:33.400347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.05605","last_updated":"2024-03-25T10:20:18Z","snapshot_observed_at":"2026-08-03T12:33:55.627333Z","submitted_at":"2019-02-14T21:05:50Z","title":"CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.05605","snapshot_observed_at":"2026-08-07T11:16:33.483925Z","title":"Crossq: Batch normalization in deep reinforcement learning for greater sample efficiency and simplicity.arXiv preprint arXiv:1902.05605, 2019","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.483925Z"},"links":{"cited_paper":"/paper/1902.05605","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:e25e9b15208984febd6a1ec48cca3866c014550d5ebd09d525425e685af470d2","observation_id":"117da26a-037c-44ad-b26e-7ba98a2bfc67","resolution":{"observed_at":"2026-08-07T11:16:33.483925Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-07T11:16:33.621363Z","title":"Proximal policy optimization algorithms.arXiv preprint arXiv:1707.06347, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.621363Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:0b23480afc4e9855af2cb191cd433c05ef1318606a008c83b6c4d6607615b5bb","observation_id":"421e6b61-2c6b-496e-a752-191ed02942e5","resolution":{"observed_at":"2026-08-07T11:16:33.621363Z","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":"2026-08-07T11:16:37.700927Z","title":null,"venue":null,"work_id":"8f2c0541-fd90-4440-a40a-164c3aa6e3f1","year":2015},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.732308Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:0e45b13088f2c7a4547b2d1c8cafbda47ec125d8d83cd59f8c2ff877187679d0","observation_id":"36a73be0-1b51-44ed-965f-29cb1ea3b70a","resolution":{"observed_at":"2026-08-07T11:16:37.765618Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.469519Z","title":"Flax: A neural network library and ecosystem for JAX, 2024","venue":null,"work_id":"e14efeb3-ad84-4970-88d6-0f1da316b5ad","year":2024},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:33.948025Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:751102ec311f298bc599e2036c584520d56bfd93493026daef7af5369431f19b","observation_id":"16e58401-a9f9-4a29-9ed6-0a3d5d899679","resolution":{"observed_at":"2026-08-07T11:16:37.535861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.338367Z","title":"seq\" data point contains fine-grained temporal and spatial information about the tactile interaction, useful for modeling contact dynamics or time-series prediction. The","venue":null,"work_id":"3534ccf8-2a69-4464-b77e-a9a97c3726d0","year":2020},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.063098Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:1574178d6937c7d8dd8b38d76067d7d75d21f23e2c37d6bf670a3f9d0ea04ba6","observation_id":"8e492a25-16e9-44c2-bffb-691e70e29ef6","resolution":{"observed_at":"2026-08-07T11:16:37.399972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.181150Z","title":"InitializationThe glimpse starts at a uniformly random position within the image","venue":null,"work_id":"6bf529ab-17eb-4de9-a03c-28bc11643e08","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.143391Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:bf4a138b36a65b31fd338f49930217f0b66abf1b165475d46673df33898bdc15","observation_id":"7865c644-ffb1-4442-a4c4-d5af60ffd55e","resolution":{"observed_at":"2026-08-07T11:16:37.242315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.044733Z","title":"At each step, the sum of: 1.10 −3⋅∥a t∥(action regularization)","venue":null,"work_id":"810dec83-677a-4bba-a19c-afcc1fd09466","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.245008Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:a38823b7374ec82dc624005c544addb9902e8a90fe8781132e8972de3d1fc0f6","observation_id":"bf7787ad-a5c3-48b8-8074-270dfa0ac8af","resolution":{"observed_at":"2026-08-07T11:16:37.110209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:36.894917Z","title":null,"venue":null,"work_id":"83dd72e4-4de5-4dc4-8902-5073ecc3935b","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.328329Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:c1754122e3cea29eb980c85f50d1d18edfebea0ba2587fa5a8fe8f839f4c9ee1","observation_id":"5566b907-d9fe-4938-afbf-f21fd0f55e7a","resolution":{"observed_at":"2026-08-07T11:16:36.968543Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:36.748219Z","title":"Initialization The agent begins at a uniformly random, valid location within the environment","venue":null,"work_id":"6b6e2119-3794-466c-bcca-7b435623555c","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.428250Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:d2eb615742078cef10c096c5e659df739509c84cb4580c6464569381364f8189","observation_id":"6daa312b-bb26-4243-becc-debb04e381f9","resolution":{"observed_at":"2026-08-07T11:16:36.817669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:36.532435Z","title":"InitializationThe agent starts at a uniformly random position within the image","venue":null,"work_id":"b96b3683-99f4-4875-8148-8589a4eba81b","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.534366Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:5c639474b4b5a7532e3a840f5ac7ac4775c9138ad8039b5bce52e248416996f4","observation_id":"6309940e-06ca-4b7b-b25a-8deccb1ae515","resolution":{"observed_at":"2026-08-07T11:16:36.643724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:36.367703Z","title":"InitializationThe tactile sensor starts at a randomly sampled pose in the workspace","venue":null,"work_id":"2b6d575f-b2e0-4172-a5e9-05314953f62d","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.613370Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:5b198d3406d32f0d9d73b7235b4f545803495fdd86501f5ba7192c151e5f5d9f","observation_id":"b5bcdf9b-8d76-4179-8552-39bb49dd9565","resolution":{"observed_at":"2026-08-07T11:16:36.456022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:36.194640Z","title":"At each step, the sum of: 1.10 −3⋅∥a t∥(action regularization)","venue":null,"work_id":"83ca390f-f985-47e1-bfaa-60d54a8897cd","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.712054Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:cca57678a2c6fe206eaed421da72a97e9f75bb70dfc7126470cb125062338e78","observation_id":"d6f86c40-381e-47c7-a33d-52b4c2214bcb","resolution":{"observed_at":"2026-08-07T11:16:36.255715Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:36.028371Z","title":"Initialization The glimpse starts at a uniformly random position within the workspace","venue":null,"work_id":"3c7b35b1-b1d6-4f14-991a-10dbe761b3b9","year":null},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.787382Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:68e0cc3cb563eb6d80838d2584075fc1879689517baffe7422753a65eb996f92","observation_id":"0def4eba-a217-4696-befc-4b5c457f09bd","resolution":{"observed_at":"2026-08-07T11:16:36.091739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:37.597195Z","title":"Hebo: Pushing the limits of sample-efficient hyper-parameter optimisation.Journal of Artificial Intelligence Research, 74:1269–1349, 2022","venue":null,"work_id":"7cd74c71-d3d3-4a98-9b4d-afefe6a8ca44","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.892418Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:a9df31ad2a98fb9ba3866a1f95af5c5ef65895e186dd98972ff37e60e84df30f","observation_id":"033db678-988f-448a-8909-472ee91a685c","resolution":{"observed_at":"2026-08-07T11:16:37.644919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:35.841196Z","title":null,"venue":null,"work_id":"967e147e-1d7f-4aad-a1cb-c59e8cd3ae83","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:34.993566Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:a0a7eda419a2bb83c04affc977613bac81e67ea2a27bc18d94d844f832488be3","observation_id":"303db7ad-f94f-42d4-ae48-4ff8681d7249","resolution":{"observed_at":"2026-08-07T11:16:35.938427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:35.630065Z","title":"Tactile gym 2.0: Sim-to-real deep reinforcement learning for comparing low-cost high-resolution robot touch.IEEE Robotics and Automation Letters, 7(4):10754–10761, 2022","venue":null,"work_id":"d1750dcf-0205-46d7-a5fd-57b3b1eea2fc","year":2022},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:35.071996Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:048ab1f1e7405be73fe2a335845dde0cc11479e197975095ed521ce94d2169f5","observation_id":"c60259bf-1642-410f-8b20-dcdb2fad8884","resolution":{"observed_at":"2026-08-07T11:16:35.712865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T11:16:35.402377Z","title":"Image-to-image translation with conditional adversarial networks","venue":null,"work_id":"9aeaec08-faf6-448f-a27d-109de20b2ad3","year":2017},"citing_paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T11:16:35.145236Z"},"links":{"citing_paper":"/paper/2506.06361"},"observation_digest":"sha256:bc83d09907fd09a7ff5e8c23cd8049236120ebd9ba5d6a9855202c12e5ec0630","observation_id":"a1801523-51df-4feb-87dd-f2bffc9f28be","resolution":{"observed_at":"2026-08-07T11:16:35.532721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.06361","last_updated":"2025-06-14T14:33:43Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T02:46:21.895391Z","submitted_at":"2025-06-03T14:42:16Z","title":"Tactile MNIST: Benchmarking Active Tactile Perception"},"reference_resolution":{"displayed":78,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":28,"verified_exact":0,"verified_fuzzy":50},"total_outbound_references":78},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 6 inbound Pith citation observations for arXiv:2506.06361."}