{"as_of":"2026-08-04T15:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a43c46d8bd964bc63e7f03257ef6c96022b2493d43887782edb202ada065a84b","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-25T03:53:56.643075Z","state":"measured"},{"denominator":55,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":55,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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":"2026-08-01T11:46:01.287841Z","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":"2026-07-04T09:09:42.603867Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"cited_work":{"arxiv_id":"2605.23899","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.23899","snapshot_observed_at":"2026-07-04T09:09:42.603867Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","venue":"cs.AI","work_id":"2f95b905-425a-454d-81e4-1d7eab68dada","year":2026},"citing_paper":{"arxiv_id":"2606.01311","last_updated":"2026-05-31T16:00:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-31T16:00:10Z","title":"SkillAdaptor: Self-Adapting Skills for LLM Agents from Trajectories","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-06-28T17:15:10.960549Z"},"links":{"cited_paper":"/paper/2605.23899","citing_paper":"/paper/2606.01311"},"observation_digest":"sha256:b16f9d234a26fcfa31de1a1af1bee3ced4d20274461facab41e45d7a661a08b8","observation_id":"aef4b80f-725b-40da-9e85-8b575a83b064","resolution":{"observed_at":"2026-07-01T21:16:14.158050Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"cited_work":{"arxiv_id":"2605.23899","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.23899","snapshot_observed_at":"2026-07-04T09:09:42.603867Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","venue":"cs.AI","work_id":"2f95b905-425a-454d-81e4-1d7eab68dada","year":2026},"citing_paper":{"arxiv_id":"2606.06893","last_updated":"2026-06-05T04:19:57Z","snapshot_observed_at":"2026-08-02T10:14:35.129361Z","submitted_at":"2026-06-05T04:19:57Z","title":"Workflow-to-Skill: Skill Creation via Routing-Workflow-Semantics-Attachments Decomposition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T22:07:46.683185Z"},"links":{"cited_paper":"/paper/2605.23899","citing_paper":"/paper/2606.06893"},"observation_digest":"sha256:9cc71afddb7c825d86cf8445c5a4ea37ea4a369a85b25af0d9315359974692be","observation_id":"7b41368c-88df-4783-94d8-890023495663","resolution":{"observed_at":"2026-07-02T17:17:14.938123Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"cited_work":{"arxiv_id":"2605.23899","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.23899","snapshot_observed_at":"2026-07-04T09:09:42.603867Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","venue":"cs.AI","work_id":"2f95b905-425a-454d-81e4-1d7eab68dada","year":2026},"citing_paper":{"arxiv_id":"2606.22613","last_updated":"2026-06-21T17:40:05Z","snapshot_observed_at":"2026-07-06T23:57:28.172988Z","submitted_at":"2026-06-21T17:40:05Z","title":"SkillAudit: From Fixed-Suite Benchmarking to Skill-Centered Assessment","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-26T10:33:38.479357Z"},"links":{"cited_paper":"/paper/2605.23899","citing_paper":"/paper/2606.22613"},"observation_digest":"sha256:f8face6a5ef9f6f3c346f7e783fb2280e4747e0bc599fc83ee5709b10782dcfc","observation_id":"bf17a307-5bd0-4995-b5af-b76b33d4c312","resolution":{"observed_at":"2026-07-04T09:09:42.605103Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.23899","snapshot_observed_at":"2026-07-11T19:16:57.396710Z","title":"From raw experience to skill consumption: A systematic study of model-generated agent skills, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.04426","last_updated":"2026-07-05T17:43:06Z","snapshot_observed_at":"2026-08-02T16:12:54.212857Z","submitted_at":"2026-07-05T17:43:06Z","title":"ACE-Brain-0.5: A Unified Embodied Foundational Model for Physical Agentic AI","version":1},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-07-11T19:16:57.396710Z"},"links":{"cited_paper":"/paper/2605.23899","citing_paper":"/paper/2607.04426"},"observation_digest":"sha256:bdd4eeee464f715cc147ee5c005ef1a1c4518d79889daff48cfa9534a2682801","observation_id":"429f4b3e-fb8d-44f5-a6aa-5902f26e2baa","resolution":{"observed_at":"2026-07-11T19:16:57.396710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.23899","snapshot_observed_at":"2026-08-01T11:46:01.287841Z","title":"From raw experience to skill consumption: A systematic study of model-generated agent skills.arXiv preprint arXiv:2605.23899, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26643","last_updated":"2026-07-29T09:05:40Z","snapshot_observed_at":"2026-08-04T07:42:56.265981Z","submitted_at":"2026-07-29T09:05:40Z","title":"Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T11:46:01.287841Z"},"links":{"cited_paper":"/paper/2605.23899","citing_paper":"/paper/2607.26643"},"observation_digest":"sha256:984935e981fee1b76266c61f738bb82bf00b06f30b64334c2368245ae6f9b0c1","observation_id":"999221b0-1c5c-4e5e-8f16-a889ba24a135","resolution":{"observed_at":"2026-08-01T11:46:01.287841Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.23899/citation-record","integrity":"/paper/2605.23899/integrity","json":"/paper/2605.23899/citation-record.json","paper":"/paper/2605.23899"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.12430","last_updated":"2026-06-02T16:14:54Z","snapshot_observed_at":"2026-08-02T23:50:43.512282Z","submitted_at":"2026-02-12T21:33:25Z","title":"Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward","version":4},"cited_work":{"arxiv_id":"2602.12430","doi":"10.48550/arxiv.2602.12430","metadata_source":"pith","pith_arxiv_id":"2602.12430","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward","venue":"cs.MA","work_id":"a64d3985-6826-492c-8a2e-f0965d805bfd","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2602.12430","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:99ac82757386c97a537992842336833788114c09158db4843878bb5eb1c6899c","observation_id":"e669775f-65e7-467d-beb3-f8f24a3d5344","resolution":{"observed_at":"2026-05-25T03:55:20.517790Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.21460","last_updated":"2025-03-27T12:50:17Z","snapshot_observed_at":"2026-07-06T20:59:35.694800Z","submitted_at":"2025-03-27T12:50:17Z","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","version":1},"cited_work":{"arxiv_id":"2503.21460","doi":"10.1145/3573051.3596191","metadata_source":"pith","pith_arxiv_id":"2503.21460","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Large Language Model Agent: A Survey on Methodology, Applications and Challenges","venue":"cs.CL","work_id":"4aff48d9-c46d-41d9-904b-52251e559596","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2503.21460","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:9a1e59320fb9ce68b91fd239ba9518ad3a8722accb976fe890dda13ecb752ff2","observation_id":"de91fe16-2418-472f-bcd0-2ed694e28a5e","resolution":{"observed_at":"2026-05-25T03:55:20.504052Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Claude Skills","venue":null,"work_id":"0b44225d-b689-42cc-ba28-b0143798d33a","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:75340966cf6d411e5cce0d7517a6d6d54498ffc9d93f2da9015ba2e97006b5c8","observation_id":"c02f4460-ec8f-4605-b989-73fff9de92dd","resolution":{"observed_at":"2026-05-25T18:07:07.861742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.22758","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T13:45:45.815030Z","title":"Autorefine: From trajectories to reusable expertise for continual llm agent refinement","venue":null,"work_id":"00a3a850-94c3-40c7-bc56-56001745f1cb","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:c7f650e712874d38ceffc54e7049d6389040f1807a0cc85e378410aef5465f40","observation_id":"343db574-d642-4a6b-b835-cc3d0f7a56fa","resolution":{"observed_at":"2026-05-25T03:55:20.497410Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2511.22074","last_updated":"2025-12-02T22:56:22Z","snapshot_observed_at":"2026-07-06T22:37:08.086095Z","submitted_at":"2025-11-27T03:51:49Z","title":"Real-Time Procedural Learning From Experience for AI Agents","version":2},"cited_work":{"arxiv_id":"2511.22074","doi":null,"metadata_source":"pith","pith_arxiv_id":"2511.22074","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Real-Time Procedural Learning From Experience for AI Agents","venue":"cs.AI","work_id":"6ac815ba-a3b5-4257-9cd1-90bc2a12578c","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2511.22074","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:66cfafb1226790b4e442f68689c302f573cd980a9f8c18b2a0418d0aa23e9c50","observation_id":"413cf517-5fb8-4684-a675-ce09d486aa4a","resolution":{"observed_at":"2026-05-25T03:55:20.510224Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.01869","last_updated":"2026-05-28T12:51:20Z","snapshot_observed_at":"2026-08-03T05:35:29.225447Z","submitted_at":"2026-02-02T09:43:12Z","title":"Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents","version":3},"cited_work":{"arxiv_id":"2602.01869","doi":"10.48550/arxiv.2602.01869","metadata_source":"pith","pith_arxiv_id":"2602.01869","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Skill-Pro: Learning Reusable Skills from Experience via Non-Parametric PPO for LLM Agents","venue":"cs.AI","work_id":"8b577494-0367-43d0-82ca-804c3a431082","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2602.01869","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:cd87f7ee40338a2084423488b85e69460ff2ed680de9ceeb9dcb69f4585c971f","observation_id":"afc5280c-78d0-4387-b533-aba5625b5b10","resolution":{"observed_at":"2026-05-25T03:55:20.457433Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.02766","last_updated":"2026-03-03T09:07:22Z","snapshot_observed_at":"2026-07-06T22:47:37.679205Z","submitted_at":"2026-03-03T09:07:22Z","title":"EvoSkill: Automated Skill Discovery for Multi-Agent Systems","version":1},"cited_work":{"arxiv_id":"2603.02766","doi":"10.48550/arxiv.2603.02766","metadata_source":"pith","pith_arxiv_id":"2603.02766","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"EvoSkill: Automated Skill Discovery for Multi-Agent Systems","venue":"cs.AI","work_id":"94c2c7b2-0c94-4b32-90cc-bc154d192850","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2603.02766","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:65bd4d32db1b4c891d216ea31cad4c47a80488c7be993482ecffd1a6429bd2e8","observation_id":"abfd5154-27be-4707-95f2-baf666fda339","resolution":{"observed_at":"2026-05-25T03:55:20.463832Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.08234","last_updated":"2026-02-09T03:17:17Z","snapshot_observed_at":"2026-07-06T22:45:05.823859Z","submitted_at":"2026-02-09T03:17:17Z","title":"SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2602.08234","doi":"10.48550/arxiv.2602.08234","metadata_source":"pith","pith_arxiv_id":"2602.08234","snapshot_observed_at":"2026-07-11T02:37:46.502465Z","title":"SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning","venue":"cs.LG","work_id":"536a9d0a-baed-4eb9-9a51-f2b585c3388b","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2602.08234","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:9b0a3f59affa88b518e718c063ba88059935dcfaad5581bd439f2286efa8d194","observation_id":"f3e91531-d93a-4a1e-8330-e195ab459237","resolution":{"observed_at":"2026-05-25T03:55:20.408598Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.25158","last_updated":"2026-06-04T12:51:52Z","snapshot_observed_at":"2026-07-13T18:24:03.688947Z","submitted_at":"2026-03-26T08:26:38Z","title":"Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills","version":5},"cited_work":{"arxiv_id":"2603.25158","doi":"10.48550/arxiv.2603.25158","metadata_source":"pith","pith_arxiv_id":"2603.25158","snapshot_observed_at":"2026-07-11T02:37:46.475508Z","title":"Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills","venue":"cs.AI","work_id":"c6f8f524-e13a-48b6-99b8-7dd3357d9665","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2603.25158","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:52636567818efec1bf4a98f086a25932ff24796e65844003bb843a89e09bce2e","observation_id":"1def89eb-23a1-41e9-8a3a-cd3f20b70ac9","resolution":{"observed_at":"2026-05-25T03:55:20.415001Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-11T01:50:58.511509+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T01:50:58.511509+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.01687","last_updated":"2026-04-12T23:04:42Z","snapshot_observed_at":"2026-07-06T22:51:35.522923Z","submitted_at":"2026-04-02T06:43:20Z","title":"CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification","version":2},"cited_work":{"arxiv_id":"2604.01687","doi":"10.48550/arxiv.2604.01687","metadata_source":"pith","pith_arxiv_id":"2604.01687","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification","venue":"cs.AI","work_id":"509f2c7c-7ee4-4b35-aa68-a3db839ad987","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2604.01687","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:deab7991ca3b27f3c54e970308dff040fd03f340cb5fc775f90f3e6d1d30b9f5","observation_id":"1884b5f3-8b42-4c00-bf3a-020c01a803da","resolution":{"observed_at":"2026-05-25T03:55:20.437345Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.12670","last_updated":"2026-03-13T07:33:01Z","snapshot_observed_at":"2026-07-06T22:45:44.135338Z","submitted_at":"2026-02-13T07:06:06Z","title":"SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks","version":3},"cited_work":{"arxiv_id":"2602.12670","doi":"10.48550/arxiv.2602.12670","metadata_source":"pith","pith_arxiv_id":"2602.12670","snapshot_observed_at":"2026-07-10T19:07:35.248739Z","title":"SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks","venue":"cs.AI","work_id":"b477d12a-2ca6-4894-9f90-3fb479635e98","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2602.12670","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:6a07047f162d1decc269107d06187823148dcf7b8008dd44b37770858f358c81","observation_id":"0fc5b2ed-ce9b-412f-b1fd-3fbb32bd0f23","resolution":{"observed_at":"2026-05-25T03:55:20.470213Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.15401","doi":"10.48550/arxiv.2603.15401","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Swe-skills-bench: Do agent skills actually help in real-world software engineering?","venue":null,"work_id":"960dedfb-e8af-4c41-bba8-b565f908ed71","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:d3b9c1594eeaf4f40d04f651a85f7a8fbd4d8c2e07116b63703272112e647e35","observation_id":"c68225d5-8f05-48c8-a2a8-af1f850d1b9a","resolution":{"observed_at":"2026-05-25T03:55:20.482474Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2604.04323","last_updated":"2026-04-06T00:10:30Z","snapshot_observed_at":"2026-07-06T22:53:20.122451Z","submitted_at":"2026-04-06T00:10:30Z","title":"How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings","version":1},"cited_work":{"arxiv_id":"2604.04323","doi":"10.48550/arxiv.2604.04323","metadata_source":"pith","pith_arxiv_id":"2604.04323","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"How Well Do Agentic Skills Work in the Wild: Benchmarking LLM Skill Usage in Realistic Settings","venue":"cs.CL","work_id":"1298ec8c-0f55-41e8-b684-19c3f512378d","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2604.04323","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:944834d248732125e45c8aa54fa00f65f989070b2ad527608be58ede9570ddac","observation_id":"f7441475-defb-4425-ba2e-4ddc06fa3aca","resolution":{"observed_at":"2026-05-25T03:55:20.421047Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.00718","doi":"10.48550/arxiv.2603.00718","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Skillcraft: Can llm agents learn to use tools skillfully?","venue":null,"work_id":"9e9f02e9-ce7d-489b-be81-2ea1513b2c41","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:154c9d823fc9ffc9ddde64d25100e9c4aa65bf888ed8595ff10afe8f8dbc1f47","observation_id":"88b963ef-6ee5-41d0-9e52-5aad98110488","resolution":{"observed_at":"2026-05-25T03:55:20.490012Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2508.06433","doi":"10.48550/arxiv.2508.06433","metadata_source":"pith","pith_arxiv_id":"2508.06433","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Memp: Exploring Agent Procedural Memory","venue":"cs.CL","work_id":"7a9faca4-10b1-472d-8fc5-89b683d01851","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2508.06433","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:bec3bf50094eba6c8daabf5100d28f9124ff74b66965db91cf9320b93d31c3f0","observation_id":"52275842-cf8a-41cf-a870-6a7460287d4f","resolution":{"observed_at":"2026-05-25T03:55:20.444539Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.17102","last_updated":"2026-03-10T05:40:56Z","snapshot_observed_at":"2026-08-02T15:17:10.009854Z","submitted_at":"2025-12-18T21:58:19Z","title":"Reinforcement Learning for Self-Improving Agent with Skill Library","version":2},"cited_work":{"arxiv_id":"2512.17102","doi":"10.48550/arxiv.2512.17102","metadata_source":"pith","pith_arxiv_id":"2512.17102","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Reinforcement Learning for Self-Improving Agent with Skill Library","venue":"cs.AI","work_id":"48e4c885-a8df-43e2-8b95-4a17ec085323","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2512.17102","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:c7edad7f8fb7041ce2bd50ed54d844d154439f84fcab918b1e4b9cd18507d11f","observation_id":"5c0aca20-31ce-41dd-a7dc-473ffd770e1f","resolution":{"observed_at":"2026-05-25T03:55:20.427936Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.16079","last_updated":"2026-05-16T02:57:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-10-17T12:03:16Z","title":"EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle","version":3},"cited_work":{"arxiv_id":"2510.16079","doi":"10.48550/arxiv.2510.16079","metadata_source":"pith","pith_arxiv_id":"2510.16079","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle","venue":"cs.CL","work_id":"350af93c-7749-4477-8163-e35d2cac8d96","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"cited_paper":"/paper/2510.16079","citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:09f573417292799fa6bc967e5e2e1f2bffaa6338b76c75ef5a21e01bf6dcd803","observation_id":"f94f0d18-2b2b-4a8f-9dc7-2e23df1c5896","resolution":{"observed_at":"2026-05-25T03:55:20.450927Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.02176","doi":"10.48550/arxiv.2603.02176","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"Organizing, orchestrating, and benchmarking agent skills at ecosystem scale","venue":null,"work_id":"da16cf2d-c19f-4d7a-8fa3-78fa0c9117a8","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:5597f3272096a44a58cef78ee5f7014f2f6c390775d60ed964a1b704d6820e75","observation_id":"ee259b7b-a709-48eb-96cf-fe896ec76995","resolution":{"observed_at":"2026-05-25T03:55:20.476076Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Skillflow: Scalable and efficient agent skill retrieval system.arXiv e-prints, pages arXiv–2504","venue":null,"work_id":"e3bf5c84-4e9e-478a-8e84-26a97d8ffacd","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:d3959bb647fe5b8a3c9bdbbfc767ce4be129f68d5fffd030e77c9159955b25c8","observation_id":"d9858169-8166-48a6-b3a4-6c7b18b59b2e","resolution":{"observed_at":"2026-05-25T18:07:07.804689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-08T13:24:54.930246Z","title":"{ALFW}orld: Aligning text and embodied environments for interactive learning","venue":null,"work_id":"20572aa1-7f0b-4661-b978-1ddac5c35e1d","year":2021},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:ace8ae2ce109562221b0cb22e22c6fa09ae11f969a8c7bd01d9189b27d6d4a63","observation_id":"3bb2499d-9549-457a-8b5b-d69e9de91964","resolution":{"observed_at":"2026-05-25T18:07:07.808706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-08T13:24:54.920797Z","title":"Spreadsheetbench: Towards challenging real world spreadsheet manipulation.Advances in Neural Information Processing Systems, 37:94871–94908","venue":null,"work_id":"32ebd23b-6e1f-4938-bee8-35390ecc3e98","year":2024},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:e95fe0bba06ba105e47ed5741c3af657e8b4714ac7fb57d9c66311d344fe987f","observation_id":"92f6a908-911a-4264-9bdf-2b2f1342c1a5","resolution":{"observed_at":"2026-05-25T18:07:07.857811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"SWE-bench: Can language models resolve real-world github issues? InThe Twelfth International Conference on Learning Representations","venue":null,"work_id":"fb2b43d2-8153-4947-924f-e037d5c07776","year":2024},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:876d411871e4459bb51abb952573e9c5677e2a02823be179fe4a8c48d590065a","observation_id":"eb3f05a6-6c69-4658-99d6-61e186dfd20a","resolution":{"observed_at":"2026-05-25T18:07:07.887082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"SealQA: Raising the bar for reasoning in search-augmented language models","venue":null,"work_id":"46dac244-bac8-4c56-8755-11b94a65e3b0","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:25656c04c3264b08818291fa3de5b61249a01154ca283fbda3028b0cc023419c","observation_id":"b0044844-124e-47b8-8041-e60c262e6a00","resolution":{"observed_at":"2026-05-25T18:07:07.898028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-08T15:35:07.281475Z","title":"Patil, Huanzhi Mao, Charlie Cheng-Jie Ji, Fanjia Yan, Vishnu Suresh, Ion Stoica, and Joseph E","venue":null,"work_id":"758fd346-29cd-48bf-abd6-90591c69f4c3","year":2025},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:d24316c56c608b8a823822f91b048b9f42b102c0fb1bcef6d4efdc3c2b2c9cd2","observation_id":"43af86ea-e617-417e-b4df-2fdd79c2b0ab","resolution":{"observed_at":"2026-05-25T18:07:07.903430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-08T13:24:54.999702Z","title":"Introducing GPT-5.4, March 2026","venue":null,"work_id":"55d4c498-9d7c-4bea-a539-61236528ec43","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:c92a2692d833331b0d4657608a41a6c4987a0b7a8a3195d72c2a9f615c29fa5c","observation_id":"4616e706-4cc0-4adc-bed8-f8089b452238","resolution":{"observed_at":"2026-05-25T18:07:07.894152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Gemini 3.1 Pro model card, February 2026","venue":null,"work_id":"dbf28767-49f6-4ad5-9769-a39f41be03e5","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:ec9f161365830a0f4b758f82190b0bd5fab02e1a80ec8a71f56664bdc16819ad","observation_id":"019cd36c-d3ae-447c-93c3-643c38fd59bb","resolution":{"observed_at":"2026-05-25T20:27:08.519061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Gemini 3.1 Flash-Lite model card, March 2026","venue":null,"work_id":"340d8924-5dc8-4a66-9756-01ccb9838d3b","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:15035800fa789e0d62c4533c0b98306f6468c33b06bef455ac501685af2bfa45","observation_id":"986dfbeb-bc1c-4ef3-aafc-7d37e305abc9","resolution":{"observed_at":"2026-05-25T18:07:07.907263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Qwen3.5: Towards native multimodal agents, February 2026","venue":null,"work_id":"3e639edd-ba63-4fd4-b2c8-e1d37e306afa","year":2026},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:ffd31b83d7db866528527bcd1883efae69ca4f164664ae522b8d2a70c826518b","observation_id":"611a6c27-52be-47fe-a2bf-d08c8ecaa6f7","resolution":{"observed_at":"2026-05-25T18:07:07.890686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"What did this agent do RIGHT that other agents facing similar tasks should also do?","venue":null,"work_id":"df467892-cc85-490c-a1ec-2eeffd06bf0e","year":2023},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:28796fd740389628226c270f4574a7231096ba206a12777871187de913db702d","observation_id":"6b206b01-4ff9-4f2e-a91e-1118ad695bcd","resolution":{"observed_at":"2026-05-25T20:27:08.499011Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"418d4a5f-01f6-42a8-bc45-4673ff8f620a","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:9eb17c5bb5265ea75ee34dbd6d6b5256cbd87d788a1cbfe5eb40f9b6b5ec365f","observation_id":"72266d13-bd03-4198-bc81-3512fc789a3f","resolution":{"observed_at":"2026-05-25T20:27:08.501972Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"96bf0f7d-6702-438b-882f-1947323ec51d","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:3aeb5796bd657dc4cbc38fc59aa140b4ec76dcaeaeff37b4b84623b2a8009247","observation_id":"a1876d97-d6eb-4bca-8f5f-4b8eba4a5b37","resolution":{"observed_at":"2026-05-25T20:27:08.525979Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1f8f6117-10c3-40d5-8dfe-e52a47700746","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:bcd64b16ad455c6a07e3a1e38648dffaab4b0a0828526b65896599358891b751","observation_id":"936deaaa-9dad-43d1-b466-4aaed89cf76c","resolution":{"observed_at":"2026-05-25T20:27:08.529636Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9d3f488d-b68e-4bdf-af37-643811ddd405","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:04ab833600a8f66d81eb854e27389682964bee14c8f08832de62061abf543e57","observation_id":"202ac18f-a3b8-488c-8265-80718223e1a2","resolution":{"observed_at":"2026-05-25T20:27:08.532526Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"SpreadsheetBench: the agent writes Python code to manipulate Excel files and produce correct values in specified output cells","venue":null,"work_id":"2a70e1e7-4308-433d-9e11-acd7433221b2","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:dc78e86b49e91b3eea9ec30ebc48e1d5ebed1ff5adfbd57b21006fc974ab446e","observation_id":"d1f2cb77-bf20-4cac-b44f-dafc0cba632c","resolution":{"observed_at":"2026-05-25T20:27:08.505822Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Dynamic Addressing: search for anchor data (e.g., column headers) to determine in- dices; never use hardcoded cell references","venue":null,"work_id":"342a4b63-3c93-4902-9308-5843dfb51560","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:e41c445269248974a6db7c2b9d55d0cc2b2b5856d0a6bc42b3c3b79a3bf47a82","observation_id":"082dd686-98b7-4773-b8ec-4674d1d19785","resolution":{"observed_at":"2026-05-25T18:07:07.849483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"AvoidFormula Injection: writing formula strings does not trigger calculation engines in headless environments","venue":null,"work_id":"90254953-95fe-4e5e-b799-66de3ee245a0","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:06fef0272332e69602cdd49473f50e1342c922db58d62b02853483947e11d596","observation_id":"60a81262-a32d-4d76-a2a3-31dcd705e842","resolution":{"observed_at":"2026-05-25T18:07:07.879102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Reverse Iteration: when deleting or rearranging data, iterate bottom-to-top to avoid index- shifting errors","venue":null,"work_id":"070c8b4e-3c45-4248-b4b3-280184a44733","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:b23fdd739a6c24f62b03902b00059c3c7e00cd9d1639a59c73e58ea7eb1817b7","observation_id":"b4a0545c-773d-4047-9180-0b670aef2f34","resolution":{"observed_at":"2026-05-25T18:07:07.870196Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Fail-Fast: if an intermediate step fails, simplify rather than patch","venue":null,"work_id":"b2acb41c-3be3-463a-a344-57a42bef30bd","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:10f31c149eaa23e48b1b71140f7345a6e209a099a2bb6786d2c88b7efc518578","observation_id":"7e73a750-9cea-411c-a5d0-d42217da3539","resolution":{"observed_at":"2026-05-25T20:27:08.522377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Confirm what you are edit- ing and roughly where the relevant scope is before writing anything","venue":null,"work_id":"6bd98483-24be-41ab-9b7c-a9f277317c9b","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:c8d58550b4de59de3517384199b9fa4f45add6e7dfdf28a7313fba84c262d470","observation_id":"5d85234d-dde8-4210-8e93-9bccf7c47fa3","resolution":{"observed_at":"2026-05-25T18:07:07.863638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Determine exact deliverable: edited artifact, formulas vs values, write scope, preservation requirements","venue":null,"work_id":"d655a0c7-978c-4cc1-837e-388f26f3a91e","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:ebedc630472b3faee95a5b75e5906a72d59cd2a318960e432abe594db0faab3e","observation_id":"fa082727-b1d4-41cc-bb24-151ff9bd5555","resolution":{"observed_at":"2026-05-25T20:27:08.509409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Separate discovery, computation, muta- tion, and formatting","venue":null,"work_id":"4432ba87-d309-4c41-89ec-b0ff53dc199d","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:89709549ffa1a801b326a0591a5083f9e6e6faa7eba8c66afa3cf9f408a8891d","observation_id":"592145d3-2b77-47de-a87e-fb3269ebf830","resolution":{"observed_at":"2026-05-25T18:07:07.856205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"4c040502-034a-451f-8fcd-9c3392235dd2","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:03d390b3d0582c7802abbcf91633aa6bf8eddac523e4e417fe275afbb52ae702","observation_id":"fedb5868-d432-4e3f-ae52-31d7193c17d1","resolution":{"observed_at":"2026-05-25T18:07:07.844134Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"resolve the contract","venue":null,"work_id":"87d67feb-0d02-4be8-b6ad-226bf9b0910c","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:c7f4cb88b5dd2397ef867f1830571756c09fd04fc9bf43316fdd6c83dc89b228","observation_id":"a5e92909-b5df-4a49-95ba-ddaf6854413d","resolution":{"observed_at":"2026-05-25T18:07:07.848555Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"If not found, transition to an exhaustive sweep of ALL open surfaces and closed receptacles.Deep Inspec- tion: never merely observe the exterior of closed receptacles","venue":null,"work_id":"ee05e2fa-6d04-4f58-a524-93becf544ac6","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:2a551736f7d5f3e0134a4fffd0fdade50ab00e595bbbcbab430765f69c65b812","observation_id":"964b718d-f51e-406c-8043-5f0292c4132e","resolution":{"observed_at":"2026-05-25T18:07:07.836301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7b968ec8-cf1d-422c-8d67-796ab5f1d743","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:10b5243628c646b3fa99a04e20b30b5d3b0264fe1bde9314649ecd7be315e0fa","observation_id":"4b9c5a32-ab4f-4264-8197-670142df9fa7","resolution":{"observed_at":"2026-05-25T18:07:07.827511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Incremental Fetch-and- Deliver: for multi-item tasks, use single-item fetch-and- deposit cycles","venue":null,"work_id":"9fd654f9-a723-441c-aeee-3161a80adccc","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:ff275745a58e08d43afc7620da33297f14933927436d9401c2cf146a536624d7","observation_id":"71a66855-c089-4e34-b020-63064a9d5e4d","resolution":{"observed_at":"2026-05-25T18:07:07.845442Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Translate the instruction into explicit predicates and act on them in order","venue":null,"work_id":"4be9b3cc-4acf-49c8-81f1-531c31562002","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:f3f6f75301a2ab4f7ab3a1e83ca88bef6c77322184d7ee642e5c299db9e4cb16","observation_id":"67bb391d-2b21-4f81-8beb-0735b7388cdb","resolution":{"observed_at":"2026-05-25T18:07:07.874873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Work backward from success and act on the earliest unmet prerequisite","venue":null,"work_id":"d5d8956d-11b2-4cc0-9194-da6473033b3d","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:e458857aeba5bfbf2ea77de369fea241aecdee87fdeae60776096a85123bf518","observation_id":"95eded84-5845-4777-a284-01a590ef189c","resolution":{"observed_at":"2026-05-25T18:07:07.852051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Before key actions, make sure access and usability are in place","venue":null,"work_id":"50cbccaf-e288-48df-8dc8-d40f0dc3e8dc","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:6709b95887b0f839b749b63a204930246d7edf4c3c3e6df8de18d157a92d18bd","observation_id":"ec06e937-b1e1-4143-ac27-cdecc1376871","resolution":{"observed_at":"2026-05-25T18:07:07.883336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"groundthe goal","venue":null,"work_id":"8f186a40-e092-46bd-aae8-3639674ba31d","year":null},"citing_paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-25T03:53:56.643075Z"},"links":{"citing_paper":"/paper/2605.23899"},"observation_digest":"sha256:366ee2547e6a650ff70dc8871b3f53a3b406f42f66c6e4bb4669b1f5bfc31ea0","observation_id":"efe3cd39-8220-4f2f-9500-cb6fee6ad7a2","resolution":{"observed_at":"2026-05-25T18:07:07.865626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.23899","last_updated":"2026-05-22T17:59:12Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-07-06T23:34:03.934151Z","submitted_at":"2026-05-22T17:59:12Z","title":"From Raw Experience to Skill Consumption: A Systematic Study of Model-Generated Agent Skills"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":17,"verified_fuzzy":26},"total_outbound_references":50},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 5 inbound Pith citation observations for arXiv:2605.23899."}