{"as_of":"2026-08-06T06:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:146de99c80f8cc268a42182504529413c5b40a02c2985f81050e34d69ede0b91","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T19:07:06.836347Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T01:43:01.331657Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-04T08:49:41.603366Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"cited_work":{"arxiv_id":"2605.10332","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.10332","snapshot_observed_at":"2026-07-04T08:49:41.603366Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","venue":"cs.AI","work_id":"9c2d9a8c-3d14-45e0-a837-85872088ce11","year":2026},"citing_paper":{"arxiv_id":"2606.22449","last_updated":"2026-06-21T11:46:49Z","snapshot_observed_at":"2026-07-31T01:23:25.610752Z","submitted_at":"2026-06-21T11:46:49Z","title":"Self-Evolving Cognitive Framework via Causal World Modeling for Embodied Scientific Intelligence","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T11:05:44.688725Z"},"links":{"cited_paper":"/paper/2605.10332","citing_paper":"/paper/2606.22449"},"observation_digest":"sha256:84160ac23a1a8e7d93892ab8b43504a101c9410176673417b4948042676a410e","observation_id":"1875ade1-e575-474e-af96-a64f3ec97aa2","resolution":{"observed_at":"2026-07-04T08:49:41.606806Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"cited_work":{"arxiv_id":"2605.10332","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.10332","snapshot_observed_at":"2026-07-04T08:49:41.603366Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","venue":"cs.AI","work_id":"9c2d9a8c-3d14-45e0-a837-85872088ce11","year":2026},"citing_paper":{"arxiv_id":"2606.27929","last_updated":"2026-06-26T10:21:52Z","snapshot_observed_at":"2026-08-02T16:26:03.084163Z","submitted_at":"2026-06-26T10:21:52Z","title":"When Multi-Robot Systems Meet Agentic AI:Towards Embodied Collective Intelligence","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-29T04:30:51.736920Z"},"links":{"cited_paper":"/paper/2605.10332","citing_paper":"/paper/2606.27929"},"observation_digest":"sha256:c89a9c6ead740eb2c8237e20fdc307dfc7c16053a09e998d3ee04368c49b2e43","observation_id":"4d2d3cdb-27d0-4f6f-9882-d823576ff898","resolution":{"observed_at":"2026-06-29T20:03:57.316413Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.10332","snapshot_observed_at":"2026-07-14T14:13:05.342181Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents.arXiv:2605.10332,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.10113","last_updated":"2026-07-11T04:29:28Z","snapshot_observed_at":"2026-08-01T17:40:32.059016Z","submitted_at":"2026-07-11T04:29:28Z","title":"Dynamic Agent Skills: A Lifecycle Survey and Taxonomy of Evolving Skill Libraries","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T14:13:05.342181Z"},"links":{"cited_paper":"/paper/2605.10332","citing_paper":"/paper/2607.10113"},"observation_digest":"sha256:250e02d2a95aa08c8a71f3acf5eedcf910b70b1fcf5d330079d92fa3ba08f426","observation_id":"10b5952a-32d4-4ecb-8fa9-c24726cca88c","resolution":{"observed_at":"2026-07-14T14:13:05.342181Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.10332","snapshot_observed_at":"2026-08-01T03:18:45.223422Z","title":"Em- bodiskill: Skill-aware reflection for self-evolving embodiedagents,2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.27690","last_updated":"2026-07-31T02:51:45Z","snapshot_observed_at":"2026-08-06T05:56:13.997728Z","submitted_at":"2026-07-30T05:19:33Z","title":"LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-01T03:18:45.223422Z"},"links":{"cited_paper":"/paper/2605.10332","citing_paper":"/paper/2607.27690"},"observation_digest":"sha256:e192b5c7b43b48ef1dcaa6dab53bfa45a44f6d85845655e36344ea38f4efa660","observation_id":"71cd449d-a0a1-4ebf-a4f5-4d52831a5092","resolution":{"observed_at":"2026-08-01T03:18:45.223422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.10332","snapshot_observed_at":"2026-08-03T01:43:01.331657Z","title":"Em- bodiskill: Skill-aware reflection for self-evolving embodiedagents,2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.27690","last_updated":"2026-07-31T02:51:45Z","snapshot_observed_at":"2026-08-06T05:56:13.997728Z","submitted_at":"2026-07-30T05:19:33Z","title":"LabEvolver: Training-Free Experience Evolution for Safe and Grounded Wet-Lab Agents","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T01:43:01.331657Z"},"links":{"cited_paper":"/paper/2605.10332","citing_paper":"/paper/2607.27690"},"observation_digest":"sha256:4915a5b808cf8f56984652c5ffc1247e640a6ce853f3e4cf4c8d5003ecb2f79c","observation_id":"99d130fb-e33d-4010-9bf6-66101ae136c3","resolution":{"observed_at":"2026-08-03T01:43:01.331657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.10332/citation-record","integrity":"/paper/2605.10332/integrity","json":"/paper/2605.10332/citation-record.json","paper":"/paper/2605.10332"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T19:07:06.836347Z","title":"ALFRED : A benchmark for interpreting grounded instructions for everyday tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:d281e2bb0c2e1d9058387380a59ddf5c774d528b0978dd01f75b40256188e4c7","observation_id":"899a56de-74ca-477c-a48c-584ec17088fe","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"ALFWorld : Aligning text and embodied environments for interactive learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:92a487b7d3f01c2af52df07b528e51232d34425fb348f1d27a01e1f90b03bc94","observation_id":"2e48f9c2-918a-4c78-8582-05213bbf9867","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"EmbodiedBench : Comprehensive benchmarking multi-modal large language models for vision-driven embodied agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:bb0d479d15ed6cdf2794d1dbc6399afa1b461d02cca2be020569241c5da36756","observation_id":"8ccc653e-65c8-4f08-870f-d104a8ae5057","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:3cae604fe3844d754487cdffc65b54966ac9185c3eeddbcc5266c7b42a46d9f8","observation_id":"51e46725-89f6-4095-837f-fe5853a1cf00","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Code as policies: Language model programs for embodied control","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:4d58fb787f40a49ee9beabadfe2e979cef42088710d9ca738bc8d44c8818460b","observation_id":"c9f2c8b2-da1f-42df-9bcc-30a7110e5984","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"ProgPrompt : program generation for situated robot task planning using large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:2a06130db85577e1ad5545c863a33afc2af8eeb7c16975514dcabc2555dba41b","observation_id":"14578976-dae6-4533-8693-d547024c4444","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Voyager: An open-ended embodied agent with large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:453635553ffecc8e03907339cb00307e27bf3b6f1190f6be55c4f77392f7c0a8","observation_id":"2115c846-ef5d-452b-9a50-23f8bb49a0a0","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06433","last_updated":"2026-04-15T17:21:59Z","snapshot_observed_at":"2026-07-06T22:10:07.250122Z","submitted_at":"2025-08-08T16:20:56Z","title":"Memp: Exploring Agent Procedural Memory","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.06433","snapshot_observed_at":"2026-07-14T19:07:06.836347Z","title":"Memp : Exploring agent procedural memory","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"cited_paper":"/paper/2508.06433","citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:316f54b234fb84056fe3b98e5da3f1e2ac2c3690e77fdb375f2f5191c05d1207","observation_id":"9d9ae3c9-5454-476b-9003-a4c51b3ffc56","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.10696","last_updated":"2026-04-15T07:24:43Z","snapshot_observed_at":"2026-07-06T22:38:45.907386Z","submitted_at":"2025-12-11T14:40:01Z","title":"Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.10696","snapshot_observed_at":"2026-07-14T19:07:06.836347Z","title":"Remember me, refine me: A dynamic procedural memory framework for experience-driven agent evolution","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"cited_paper":"/paper/2512.10696","citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:a2da4a1eceeba8c0c62ee2f3ac0905c07ab28eb165828c1baef797183dd9d6d4","observation_id":"cb1faa4c-a059-4886-9a06-ae5587fe9742","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Trace2Skill : Distill trajectory-local lessons into transferable agent skills, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:d5c90216de7f480c917afa573eb2186fe95777feb5921436721e7f693e209876","observation_id":"ced166b2-8d0b-4a3a-9455-a14a1600d91b","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:6e4bf3640684604cbe70ec8722b423eb61f628115d7036210690250fab03aeb4","observation_id":"f3383466-3f91-4b69-8926-4742fb0c06b7","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Skill-Pro : Learning reusable skills from experience via non-parametric PPO for LLM agents, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:447923f7dcf43d0f4433e56f8d6d817388ea65e5b80c80d9f43d5a682933e193","observation_id":"dae92287-5195-4fb4-a4c7-86b24b4dec61","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Language models as zero-shot planners: Extracting actionable knowledge for embodied agents","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:4caaa9cfc0ef9bfb0957b42ab81469b5b57749ccce7abc4b1305670879061411","observation_id":"13161e86-f649-4e2b-8b91-2b6cd100c7de","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"G-Memory : Tracing hierarchical memory for multi-agent systems","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:cb1b2583ec368cbbbaa30bb45e448e2c82fba663679cd00746be494407fd8eef","observation_id":"81acf2f3-b3d2-4b1f-8ead-6ca04bd98026","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Reflexion: Language agents with verbal reinforcement learning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:1c5040d53ae51b3b31f0f3704d7379a67edd80116166075604ae127237c46779","observation_id":"1b173aa3-2264-4f69-9954-20c137cdf5d7","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"ExpeL : LLM agents are experiential learners","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:729b9185b864df2d72a521f5f3af9885e1a45de00a8ff17c0723fd17f3bc4f91","observation_id":"c36c7f68-8da3-4b5e-aa12-0f4424c1ca22","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Mem0 : Building production-ready AI agents with scalable long-term memory, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:58946bffa933b51eb15c54a503e2a3a761f52194fc4e449986aaae70ee5dc82d","observation_id":"b0dad33e-4078-42bf-a006-2cfa7f73c2a4","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"A-Mem : Agentic memory for LLM agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:846867d13ad57d1e7214675ef65fe5fc0f72e916151566713ca3665335f84247","observation_id":"12cacb73-46eb-49a5-8552-eca979e6ca5d","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Langmem: A framework for long-term memory in llm agents","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:73515514e8c372ac6187c4923a35166845a9b09ecb5d82bfde78c2966d7e9bcb","observation_id":"f8b28503-e1cb-4ba5-b161-e4b965bdef72","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"SkillRL : Evolving agents via recursive skill-augmented reinforcement learning, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:5757481fe26258f9d73916060d90f870f4e41efddb0cc0026fe13a4c7b0a3331","observation_id":"7a630e45-9f9b-4d3f-8b40-5bc8114b62fc","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"MemSkill : Learning and evolving memory skills for self-evolving agents, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:e269d89a7b0b7cea612cf11ebccfc6fb6a6bc92848bb9183eb9dfbfa12bfb82f","observation_id":"d3f1a6f2-b083-4c74-ae5f-def49f5e4a62","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2603.12056","last_updated":"2026-07-01T10:34:53Z","snapshot_observed_at":"2026-07-14T22:29:30.165691Z","submitted_at":"2026-03-12T15:25:57Z","title":"XSkill: Continual Learning from Experience and Skills in Multimodal Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.12056","snapshot_observed_at":"2026-07-14T19:07:06.836347Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"cited_paper":"/paper/2603.12056","citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:0d3d013500b2770fbf3cfa28a9867935a923e9683338cea9466e081c09b45b7b","observation_id":"b51a9ed1-61f5-400f-8824-6b85bddea91d","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Qwen2.5 technical report, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:bdb61a0b2aa34d2047c5a53f84bcae55e3874784c8bb22c89cd35a0976dd74f8","observation_id":"54dacb70-7d2f-4cd4-abfd-19e927e558a0","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Qwen3.5 : Towards native multimodal agents, February 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:590ab77ca747b409ab06475a2ef508b810710b3d38636a6337907a72b43adfff","observation_id":"73bbca32-fcc3-4331-bad6-3ee7b9921bc1","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Qwen3-VL technical report, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:c0844bfeb9a85be7d23b2c60231b22ff9702ed6b908f4221bfb502e33dbdadf3","observation_id":"733ca417-7d19-468e-930a-19c9e474ba1a","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Update to GPT-5 system card: GPT-5.2","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:e133926984700fa0840fd7442e8cbf8cdd030c7ff14e4dfbf5cf6acfb420c134","observation_id":"ec74b8ca-e429-44de-8b37-5aacfd044564","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","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":"2026-07-14T19:07:06.836347Z","title":"Gemini 3 Flash model card","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-07-14T19:07:06.836347Z"},"links":{"citing_paper":"/paper/2605.10332"},"observation_digest":"sha256:3d4ea7988f978e8833f75e785474577872c0067537caefe8f1948e9ba67fc84d","observation_id":"e5280b95-8109-413a-945d-586137e56910","resolution":{"observed_at":"2026-07-14T19:07:06.836347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.10332","last_updated":"2026-07-11T16:26:25Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-03T02:33:28.150210Z","submitted_at":"2026-05-11T10:33:29Z","title":"EmbodiSkill: Skill-Aware Reflection for Self-Evolving Embodied Agents"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":27},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 5 inbound Pith citation observations for arXiv:2605.10332."}