{"as_of":"2026-08-21T14:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1c05bd1146111ea1322fa99f53a1505a15dba5709a0c3612190ca830b9715a6","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T17:59:50.377281Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.19675/citation-record","integrity":"/paper/2606.19675/integrity","json":"/paper/2606.19675/citation-record.json","paper":"/paper/2606.19675"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"United Nations, Sep","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:2e1b84362cdf68c031c1840a19bdc88997bb4b5342b3dfbcd50392654ced4dd4","observation_id":"65962ef1-d2ea-445e-b509-64e79f77d6cf","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Robotic monitoring of forests: a dataset from the EU habitat 9210* in the Tuscan Apennines (central Italy),","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:523e848285cad89c4bd157dc7719194e8554e626d53574408b6adb5896f50463","observation_id":"2ced8334-7cba-46e8-89fc-f7067d24752b","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Ground robot technologies in wildfire risk reduction: The viewpoint of the fire service,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:3c9cd242e8982d3e2ace13f1be4190cf959e9ab71b9bed8ef2522d46f4892d1b","observation_id":"d0a64084-8073-4ffa-91cf-9ae289d2e177","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Building Forest Inventories With Autonomous Legged Robots—System, Lessons, and Challenges Ahead,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:cfe2e5e11029a3fba342ffca01be463ff99c53262665cb4b9a4ab69f7e1f0010","observation_id":"4f81bf22-464e-4fe2-9323-0927c17aa0d9","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"TartanDrive: A large- scale dataset for learning off-road dynamics models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:b30a9fddad6c8900d8b2f7d2d0e05d3810c727f268a77a103d8649c064ae924b","observation_id":"a98c88f3-2ab7-43a0-a28f-7380a75c4fbc","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"TartanDrive 2.0: More modalities and better infrastructure to further self-supervised learning research in off-road driving tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:11bcb57f4bc81fa1e767a89b71459e75fc089081075d8ea81ce54eedecdc8467","observation_id":"00e741d0-4a1b-4cbe-9333-38e45bfd0a64","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"The GOOSE dataset for perception in unstructured environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:d47d7d4f674828cc2b6ec1a1c2388120114c8e925249bb6666ec2e1a6c495a5e","observation_id":"0de99c5a-8344-455d-9bd0-c036b556eb1b","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"LAMP 2.0: A robust multi-robot slam system for operation in challenging large-scale underground environments,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:a71e9d3d5ea3c1b3ff99f94381b3d38c4aaf2726509281de7b581e0695f321b7","observation_id":"db340b64-45cc-4632-baaa-b76cf7bea83f","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"M3ED: Multi-robot, multi- sensor, multi-environment event dataset,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:4e5a1f1bf6545fd4ee000713efa927e74b7097cddc0d5c42a9a45d19a6682ced","observation_id":"070b544d-19ff-46b4-86f7-8e952fcbd3b9","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.18164","last_updated":"2026-07-08T16:25:37Z","snapshot_observed_at":"2026-08-19T21:01:10.634184Z","submitted_at":"2026-02-20T11:57:52Z","title":"GrandTour: A Legged Robotics Dataset in the Wild for Multi-Modal Perception and State Estimation","version":3},"cited_work":{"arxiv_id":"2602.18164","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.18164","snapshot_observed_at":"2026-07-10T21:27:35.111941Z","title":"Grandtour: A legged robotics dataset in the wild for multi-modal perception and state estimation","venue":"cs.RO","work_id":"3bdae4a0-82b2-45af-a5da-c474f73ea010","year":2026},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"cited_paper":"/paper/2602.18164","citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:bc37f62c943288d7cbbca940ece73429dc6da8a5973ef83c55b8bc114b64b8d8","observation_id":"ab3e6c1b-df79-4e2c-b563-20eb44568980","resolution":{"observed_at":"2026-07-09T02:20:28.592188Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"CEAR: Comprehensive event camera dataset for rapid perception of agile quadruped robots,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:24bdf0fe52cb7519e3fad8bb8e949c2d4f4ab9b7d9cd49c5833fcfaf14c93e71","observation_id":"53121601-6945-4d37-859e-6cd7da335fc9","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"DiTer: Diverse terrain and multimodal dataset for field robot navigation in outdoor environments,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:4ddb7fc595dbce2026f4e303a1f30617c17be7b7842047796cdd39582dee73f9","observation_id":"81f316fb-3303-4dff-9901-543fa5c4fb46","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"DiTer++: Diverse terrain and multi- modal dataset for multi-robot slam in multi-session environments,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:7f71389007130247694ece7e816d76bad88f5bf1f4ccb67d323104b682e1d816","observation_id":"fc09b116-7f0e-4985-bb06-624466c18f5c","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","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":"2601.02777","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-04T03:29:30.678896Z","title":"M-SEVIQ: A multi-band stereo event visual-inertial quadruped-based dataset for perception under rapid motion and challenging illumination,","venue":null,"work_id":"5006b681-f4e6-4a0e-af0c-5fec3f6651a9","year":2026},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:6dcbb5773a43ae6b4f02e6332657c33e9a01ddd01d7013de3761ce75b4163e63","observation_id":"d77a4501-0f80-4f98-9b52-8792fbce7311","resolution":{"observed_at":"2026-07-04T03:29:30.681503Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"ANYmal — toward legged robots for harsh environments,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:7851705357be15460e057e75217efcde1315edb7f9ee2cca297925833fcf36a2","observation_id":"58c90108-a844-42d0-957e-940a40045602","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Blind-Wayfarer: A minimal- ist, probing-driven framework for resilient navigation in perception- degraded environments,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:251e3680ded0f9c0ee17871b52cb1f9e473a83c0881b9074d9eff4149728f59f","observation_id":"54809f9e-42a3-4749-bbff-84b0ca1a3767","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Proprioception and reaction for walking among entanglements,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:7fc7fad4eb6e4c231809ff4e92f0ee89247f85bfe042df11658df6dd53ce6eae","observation_id":"3fce3a02-e996-4237-9ff2-ad7d5f0add2c","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"PrePARE: Predictive proprioception for agile failure event detection in robotic exploration of extreme terrains,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:31f4cbf8a76dbdd113a2839d9ccbcb8686669077b1d891be2b6a673510257c8d","observation_id":"9193830c-de0d-406d-be98-1f2a646897f4","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"VERN: Vegetation-aware robot navigation in dense unstructured outdoor en- vironments,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:059649ad77e3fb2d43f87e9b6438acaf1cafc156142eb1658d7452f4d742d2bf","observation_id":"bf0abd7c-5245-4587-8e26-522cc4b923c6","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"V APOR: Legged robot navigation in unstructured outdoor environments using offline reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:2122ce11c519d8499e784914e337cc114e9775a93e44d88c68bf9bd2fbdbbea8","observation_id":"7e4a00a9-2c22-43d9-b308-d7adc6652063","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Robotics in forest inventories: SPOT’s first steps,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:1a6d1aa3adcc514d4cb296d13037d4a562b01ff0974dc033d6915e36dd9882d3","observation_id":"9168f255-c1b9-45da-8bbc-51a26c3a4667","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Boxi: Design decisions in the context of algorithmic performance for robotics,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:85ef79260b688def0a8f48cc2957ad6abd8c3fef11d96c60ab8b78114daece70","observation_id":"7e46ff32-fab3-471f-bbf4-59d55158f986","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"A survey on terrain traversability analysis for autonomous ground vehicles: Methods, sensors, and challenges,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:32b9b771c6de52a09c11b3e8e7d3fa3dedd688e8da2d4502aa80a4b330671128","observation_id":"aaa4d886-9236-48ed-b0a5-6db21088f470","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Fast traversability estima- tion for wild visual navigation,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:4e13d252bdf5e94f3b6a972bed931046fcd8cf1c1cd7444ab15d51fd128c6cc2","observation_id":"64c14efb-559c-4a86-8c45-9e35adbb71ab","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Mini Cheetah: A platform for pushing the limits of dynamic quadruped control,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:1df11781567dec384cac3115c455d416bbbfc4c24d99f4651d56f2490d580225","observation_id":"177ae8ac-c01d-4c5f-a471-2f715e7d7ea9","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Sparse robot swarms: Moving swarms to real-world applications,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:987c6c88a2165882a811add360aefbd0bd164174b76ddf4dc8ddf2fdeb6b1709","observation_id":"a9063503-5a74-40a3-a172-b3d9c432effc","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","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":"10.5281/zenodo.18824718","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Forent: A multi-modal dataset for characterizing quadruped robot entrapments in forest environments,","venue":"Open MIND","work_id":"3e57097d-523a-45ea-b6f3-98a8863f2a0a","year":null},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:af72db597a650a73d38d9662a40d4af88af1b98cacdf4b1cb43fbe5274f1c5aa","observation_id":"5348cb1f-4c23-4292-ad69-b73081c325bb","resolution":{"observed_at":"2026-06-26T18:09:41.139192Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:462140c4fb5fecb502b44088587f3e7f1c8afcb5eb296096d7374eda9dd2bcdc","observation_id":"91a77049-7938-4e1c-a615-5ab0cec6eaf2","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"EfficientNet: Rethinking model scaling for convolutional neural networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:4fb831dd2623fd4827aa96c103d3e170e4b4c4a7a6f0fd3ebac6cab2ee74813a","observation_id":"b1768334-eb9d-45bd-aa6b-435c74de3fdb","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-06-26T17:59:50.377281Z","title":"Distinctive image features from scale-invariant key- points,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-26T17:59:50.377281Z"},"links":{"citing_paper":"/paper/2606.19675"},"observation_digest":"sha256:ddf518dab1af72f152a6f8db27840463c1ffb2b48aeb3348e03f7050dbf71442","observation_id":"a3d59fb1-3ada-4b94-97b2-dd29a7d06e22","resolution":{"observed_at":"2026-06-26T17:59:50.377281Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.19675","last_updated":"2026-06-18T00:59:11Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-17T03:28:26.101314Z","submitted_at":"2026-06-18T00:59:11Z","title":"ForEnt: A Multi-Modal Dataset for Characterizing Quadruped Robot Entrapments in Forest Environments"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":3,"verified_fuzzy":0},"total_outbound_references":30},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.19675."}