{"as_of":"2026-08-10T18:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4a07e0719b99ce8a24dd1024d57074f14a1e1d4aa60c50d7fe362f2b7a802ea7","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T15:34:53.535703Z","state":"measured"},{"denominator":34,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":34,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.05313/citation-record","integrity":"/paper/2608.05313/integrity","json":"/paper/2608.05313/citation-record.json","paper":"/paper/2608.05313"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.121751Z","title":"Robot risk-awareness by formal risk reasoning and planning,","venue":null,"work_id":"18191c77-f6ad-41fe-bdfa-abc4c6793183","year":2020},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.380615Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:0778f1842754488780941e131dc98a8fe67ed3755f9b8d3e384689869e78d4d7","observation_id":"7d74ae29-6d6e-412e-a5ab-d6f78f90b301","resolution":{"observed_at":"2026-08-08T15:34:54.126672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.106727Z","title":"A minimum risk approach for path planning of uavs,","venue":null,"work_id":"3c4aa9f1-9229-42eb-ae69-6a3b25f7f784","year":2011},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.386316Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:cd9005182f6e5ec0cc00026cde7bcbb4fe05ee057fde995427686d5ee635cefe","observation_id":"9ff1940e-d4dc-4f23-97ef-9bc1124c1de8","resolution":{"observed_at":"2026-08-08T15:34:54.111570Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.092265Z","title":"Zabarankin, S","venue":null,"work_id":"150a6303-fffb-4933-b998-9237b402d9d8","year":2002},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.390990Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:1f43ce7026c7dbadbcac1963ddfd6519ab90920b6019ab78e1129d93d1cdaed3","observation_id":"25820d99-984f-4982-8e35-eeafef74a385","resolution":{"observed_at":"2026-08-08T15:34:54.096797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.076266Z","title":"An efficient motion planning algorithm for stochastic dynamic systems with constraints on probability of failure","venue":null,"work_id":"89f8beef-6575-444a-a61e-5c2474816d52","year":2008},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.395935Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:8c695effd90baa47c9e71b48d7676c39106b7bb35ea746e8879a361b5af1f250","observation_id":"70bd57c7-da17-4612-ae78-e72de4ef254d","resolution":{"observed_at":"2026-08-08T15:34:54.081499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.060232Z","title":"Recover: A neuro-symbolic framework for failure detection and recovery,","venue":null,"work_id":"ae4b9a0a-bc00-46ec-9e3f-4cd1bf09fa7a","year":2024},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.400890Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:4046ff0c0a2de343639ad64e8f06f4077f3777414036e0ac01e94f03b07ba505","observation_id":"b66d9528-3f3f-40d6-a3c2-9b27c21df8a7","resolution":{"observed_at":"2026-08-08T15:34:54.065222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.044997Z","title":"Understanding and resolving failures in human-robot interaction: Literature review and model development,","venue":null,"work_id":"4363fb80-2f0b-430d-ac24-4db6eb2d39ce","year":2018},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.405756Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:be82674ae6ac4854c823d249b692f1fb11afecae88163c3a9aaa8dd3a8eab697","observation_id":"3abdb711-da36-485d-adec-010f035d6903","resolution":{"observed_at":"2026-08-08T15:34:54.050021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.030260Z","title":"Follow-up analysis of mobile robot failures,","venue":null,"work_id":"80615ef8-0550-4b75-8050-4ef3a056d100","year":2004},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.411063Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:c09ce73573ea51ea12fab4afac7690acb77b0ae336d8fa78c7f38c2079c96578","observation_id":"bb5d131b-a4a7-40fb-91d1-bc293990c317","resolution":{"observed_at":"2026-08-08T15:34:54.034918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:54.014555Z","title":"Explicit motion risk representa- tion,","venue":null,"work_id":"f61ca2db-c993-4053-b666-f18120c085f8","year":2019},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.415750Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:8213d9b9c4aea1aec9a73513fa2a66a938df0fc219cb0bf44945bcbd184c3cbf","observation_id":"70629eb4-45c9-47a1-82fc-0b8b391b5713","resolution":{"observed_at":"2026-08-08T15:34:54.019647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.998177Z","title":"Errors in human-robot interaction accidents: A taxonomy and network analysis,","venue":null,"work_id":"f24616b4-4caa-46ad-8884-1d4a8cb51233","year":2024},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.420207Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:0b2a68845bb34a3822c415204b58beaf8d8fd6571602730b086ddec000c5afbf","observation_id":"9e5c8c5e-49f2-4ce1-a240-f3949ae3195b","resolution":{"observed_at":"2026-08-08T15:34:54.003024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15724","last_updated":"2023-10-16T21:04:57Z","snapshot_observed_at":"2026-08-02T12:10:11.743351Z","submitted_at":"2023-06-27T18:03:15Z","title":"REFLECT: Summarizing Robot Experiences for Failure Explanation and Correction","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15724","snapshot_observed_at":"2026-08-08T15:34:53.424729Z","title":"Reflect: Summarizing robot ex- periences for failure explanation and correction,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.424729Z"},"links":{"cited_paper":"/paper/2306.15724","citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:26f062ebba5facc2c3d45b2e6c69f58a3c0b94672ca300bbb24228f95d41ce1d","observation_id":"627d380d-aeec-4a2c-a7f9-34457b38c357","resolution":{"observed_at":"2026-08-08T15:34:53.424729Z","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":"2026-08-08T15:34:53.429690Z","title":"Control barrier functions: Theory and applications,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.429690Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:dff6ae6ad87d27bdd0fd5fa8c99025aa61012ca3f7e4c8bb09bd687c17f29d95","observation_id":"8ad04f70-c499-4d34-8972-5d39095357fb","resolution":{"observed_at":"2026-08-08T15:34:53.429690Z","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":"2026-08-08T15:34:53.973745Z","title":"Predictive control barrier functions: Enhanced safety mechanisms for learning-based control,","venue":null,"work_id":"f1b9962f-30c5-4250-b230-6c948fcaf5e2","year":2022},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.434384Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:4eae81c9cd30b216fd195e4b9ea4d7d2ed8be70bc123a5b6497ee57c05916b78","observation_id":"5f5cacff-1991-4f85-8d24-d1ec838a6bb0","resolution":{"observed_at":"2026-08-08T15:34:53.978834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.958874Z","title":"T-cbf: Traversability-based control barrier function to navigate vertically challenging terrain,","venue":null,"work_id":"b3b9e212-d48f-46ab-b38e-c00861473bc0","year":2025},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.439061Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:33a37c96de5dea3c24ba31d7cb6dbceea01611a527b3abda7d9cfd77174e7c0b","observation_id":"ce9f9569-fa2f-46ed-b374-2f568e144917","resolution":{"observed_at":"2026-08-08T15:34:53.963772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.443422Z","title":"Hamilton–jacobi formulation for reach– avoid differential games,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.443422Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:e25fce91fff4346de60f4ee60bcf41dfd272ee4cdee943010b440a39792e9e29","observation_id":"9157a1f4-805a-4215-9004-f99262e6e82d","resolution":{"observed_at":"2026-08-08T15:34:53.443422Z","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":"2026-08-08T15:34:53.447763Z","title":"A time-dependent hamilton-jacobi formulation of reachable sets for continuous dynamic games,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.447763Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:f77fa68e119f38000cfae28e340adfea76d4e8617bbe6c3972964f12a10d6b97","observation_id":"a9a49951-5000-46e2-a5c2-7e9d6a9de7eb","resolution":{"observed_at":"2026-08-08T15:34:53.447763Z","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":"2026-08-08T15:34:53.924570Z","title":"Case study: Ros-based fault injection for risk analysis of robotic manipulator,","venue":null,"work_id":"c2ab9961-dfd2-4d2a-be4a-5dc6fa579562","year":2023},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.452093Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:7a57ca9d6dfafc98cd17b6bd709fad18e7dc5b0b9f58f2b86eb020eb22239ce9","observation_id":"ccdc54b0-c72c-40c1-91a2-1714ce1293c7","resolution":{"observed_at":"2026-08-08T15:34:53.929194Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.909474Z","title":"Fault detection in autonomous robots based on fault injection and learning,","venue":null,"work_id":"36f9ddcf-3918-4fef-8bf4-2c8a7a79e84a","year":2008},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.456677Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:ab26f7b0ce5eb4b09a53d9200cd5470503d000d205feb60fca79378996de9be7","observation_id":"88d30ef4-1f4c-4c8a-99d3-08e97fa0eff8","resolution":{"observed_at":"2026-08-08T15:34:53.914322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.461831Z","title":"Mujoco: A physics engine for model-based control,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.461831Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:82bddc72675853c33d31536a39cb4e32aa383b317e8bf8c5273d76a24fdbb539","observation_id":"8fb3965b-d745-48f0-bf0e-c25c88b90cc3","resolution":{"observed_at":"2026-08-08T15:34:53.461831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02523","last_updated":"2024-06-04T17:41:31Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-04T17:41:31Z","title":"RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02523","snapshot_observed_at":"2026-08-08T15:34:53.466216Z","title":"Robocasa: Large-scale simulation of ev- eryday tasks for generalist robots,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.466216Z"},"links":{"cited_paper":"/paper/2406.02523","citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:516e79f59f028c06db5a9078fb904a909e736236fe0b435c157f814bf811c542","observation_id":"42c378ea-7b48-40b5-8c0f-f1cba29e13eb","resolution":{"observed_at":"2026-08-08T15:34:53.466216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.12293","last_updated":"2025-01-18T02:57:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-09-25T15:32:31Z","title":"robosuite: A Modular Simulation Framework and Benchmark for Robot Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.12293","snapshot_observed_at":"2026-08-08T15:34:53.471139Z","title":"robosuite: A modular simulation framework and benchmark for robot learning,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.471139Z"},"links":{"cited_paper":"/paper/2009.12293","citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:f4406a99c0324d04944bf717c1d2a3de1d0c7b57074539ee264506346cf06753","observation_id":"18ca4121-943d-4d10-98d8-46b21f1d2ad9","resolution":{"observed_at":"2026-08-08T15:34:53.471139Z","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":"2026-08-08T15:34:53.476583Z","title":"The dynamic window approach to collision avoidance,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.476583Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:0bb89e3881094d495c230da06186b5c3905d79a6addaa51818291bdd09301da2","observation_id":"bc1275cd-3bba-4178-ae77-30aa3842807e","resolution":{"observed_at":"2026-08-08T15:34:53.476583Z","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":"2026-08-08T15:34:53.481115Z","title":"Mink: Python inverse kinematics based on MuJoCo,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.481115Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:6890df661b99027b5b92757513bc15f5d898a1f37a9fd6a169b7fd830a2c3de4","observation_id":"1ef920bb-81a5-4102-9c52-f251ce41aa5c","resolution":{"observed_at":"2026-08-08T15:34:53.481115Z","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":"2026-08-08T15:34:53.485748Z","title":"Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.485748Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:365a82b452ec9f08fe8e4d0362ea4e2fcf336c63cc0bd67d92f488dad2b79db8","observation_id":"1f870840-fd7f-4e33-9183-10fb0a6ca3b1","resolution":{"observed_at":"2026-08-08T15:34:53.485748Z","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":"2026-08-08T15:34:53.490592Z","title":"Rapidly-exploring random trees: Progress and prospects: Steven m. lavalle, iowa state university, a james j. kuffner, jr., university of tokyo, tokyo, japan,","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.490592Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:725c1362c3b67fb4a1fca8b80c02e513e4cf2697fd089b474c7854d194bdde8a","observation_id":"798186a0-91dc-413b-af44-8956a506ae10","resolution":{"observed_at":"2026-08-08T15:34:53.490592Z","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":"2026-08-08T15:34:53.845578Z","title":"Adaptive rapidly-exploring-random- tree-star (rrt*)-smart: algorithm characteristics and behavior analysis in complex environments,","venue":null,"work_id":"58dc7cc5-e4f2-40c9-b981-6ed945796a96","year":2013},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.495017Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:30837dc9e78e4cb65fcf637c8c22e668e0756fcc987f425d2195eb9cdc7e3d05","observation_id":"b522067b-1ea2-472f-b4f5-75f88b920a7c","resolution":{"observed_at":"2026-08-08T15:34:53.850899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.499670Z","title":"Rrt-connect: An efficient approach to single-query path planning,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.499670Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:17621197aa8f4c58e693c33a441bdcc4128cdbaf5cac79d498c45b2444fbce94","observation_id":"5e57b4a8-8584-432f-834b-e4383d2f25a4","resolution":{"observed_at":"2026-08-08T15:34:53.499670Z","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":"2026-08-08T15:34:53.820625Z","title":"Stomp: Stochastic trajectory optimization for motion planning,","venue":null,"work_id":"cf261701-7a00-4388-8501-9304b3217c85","year":2011},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.504198Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:458840ab9aec5b3d549cd77bc93b38c6013d48be1b82f4917607a5961fd81e98","observation_id":"ae78f313-8bcc-4069-974d-6895e3ba9edb","resolution":{"observed_at":"2026-08-08T15:34:53.825560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.508520Z","title":"Chomp: Covariant hamiltonian optimization for motion planning,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.508520Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:36dda99c9549e64c322f84963ec88621deeb2b35bdb3227f687d014a37e5fc73","observation_id":"dac9efdf-e20d-402c-8eb9-dcd22bb2f48d","resolution":{"observed_at":"2026-08-08T15:34:53.508520Z","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":"2026-08-08T15:34:53.795240Z","title":"Leveraging VLM- based pipelines to annotate 3d objects,","venue":null,"work_id":"ea25932d-ad8d-4f10-a41d-600fc608418b","year":2024},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.512999Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:4d264e4415379d8205c2c9c5489078161d9fefc1cd734547510a38dc3b569987","observation_id":"59db31d8-474e-481b-8b1a-f9050f920e4c","resolution":{"observed_at":"2026-08-08T15:34:53.800097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.517355Z","title":"Human motion trajectory prediction: A survey,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.517355Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:b757e234c897b9ed5a82ab47c1e5035fff07447687923a997992866e7d243b01","observation_id":"b5760c67-e2d7-4f20-a657-7a2d24fd63bf","resolution":{"observed_at":"2026-08-08T15:34:53.517355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04983","last_updated":"2025-02-01T02:40:49Z","snapshot_observed_at":"2026-07-06T19:46:54.707852Z","submitted_at":"2024-11-07T18:54:37Z","title":"DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04983","snapshot_observed_at":"2026-08-08T15:34:53.521781Z","title":"Dino-wm: World models on pre-trained visual features enable zero-shot planning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.521781Z"},"links":{"cited_paper":"/paper/2411.04983","citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:249e2d536be3cfe0b46f74d47e201b40314abc2a7e5f4c70f1da8e9add532dc0","observation_id":"c7db667d-f330-4112-9a43-e583a61e72d6","resolution":{"observed_at":"2026-08-08T15:34:53.521781Z","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":"2026-08-08T15:34:53.526609Z","title":"Generalizing safety be- yond collision-avoidance via latent-space reachability analysis,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.526609Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:622eea2e471f4ed1b96779450061e862fa419984f8314fdefb24f55b99b69ffa","observation_id":"4a0b00db-4d1e-4854-ae3e-467eef9234a4","resolution":{"observed_at":"2026-08-08T15:34:53.526609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.13694","last_updated":"2024-07-18T16:59:33Z","snapshot_observed_at":"2026-08-10T13:33:35.810809Z","submitted_at":"2024-07-18T16:59:33Z","title":"Anticipatory Task and Motion Planning","version":1},"cited_work":{"arxiv_id":"2407.13694","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.13694","snapshot_observed_at":"2026-08-08T15:34:53.575150Z","title":"Anticipatory Task and Motion Planning","venue":"cs.RO","work_id":"ba79288c-3d58-42bd-bb4e-038b643c1d1a","year":2024},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.530967Z"},"links":{"cited_paper":"/paper/2407.13694","citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:dc65ce2f7c80a543c6c09f535b7a482392fa22346896b4bef297c6af26818c3a","observation_id":"fc7d2f9e-260f-40be-a7f8-12ebe4ad528c","resolution":{"observed_at":"2026-08-08T15:34:53.582965Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:34:53.770146Z","title":"Integrated task and motion planning,","venue":null,"work_id":"71a6f466-1919-4688-9041-1f6e439ea9f0","year":2021},"citing_paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T15:34:53.535703Z"},"links":{"citing_paper":"/paper/2608.05313"},"observation_digest":"sha256:03661190d76a5de75e2680642743b466d7a64b8a2d558829eed9e83007ff1cf0","observation_id":"43c2a560-af27-4d2f-8bbb-351aaaddd63e","resolution":{"observed_at":"2026-08-08T15:34:53.775069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.05313","last_updated":"2026-08-05T18:15:15Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-09T23:10:32.933780Z","submitted_at":"2026-08-05T18:15:15Z","title":"Failing Gracefully: Mitigating Impact of Inevitable Robot Failures"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":17},"total_outbound_references":34},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.05313."}