{"as_of":"2026-08-15T15:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a1c3e5f13d1ad530ba8e46d5a3bbed1a92f0a65a07f9325d6f57cd7c812b1f3c","coverage":[{"denominator":90,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":90,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-20T18:10:08.737710Z","state":"measured"},{"denominator":92,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":92,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T23:04:12.409948Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.16508","snapshot_observed_at":"2026-08-01T23:04:12.409948Z","title":"Cho, H.; Kang, R.; and Kim, Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15557","last_updated":"2026-08-06T08:13:45Z","snapshot_observed_at":"2026-08-09T23:09:55.012567Z","submitted_at":"2026-07-17T01:55:17Z","title":"SkillCorpus: Consolidating and Evaluating the Open Skill Ecosystem for Real-World LLM Agents","version":4},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-01T23:04:12.409948Z"},"links":{"cited_paper":"/paper/2605.16508","citing_paper":"/paper/2607.15557"},"observation_digest":"sha256:b3901c2102433f865df32d653f332475dfc69f8138756e2b3a28aefb7e09bfa1","observation_id":"c86f91a9-4cf6-4cde-9878-e31a3231639f","resolution":{"observed_at":"2026-08-01T23:04:12.409948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.16508","snapshot_observed_at":"2026-08-01T11:46:01.048124Z","title":"The scaling laws of skills in llm agent systems.arXiv preprint arXiv:2605.16508, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.26643","last_updated":"2026-07-29T09:05:40Z","snapshot_observed_at":"2026-08-13T05:48:38.004906Z","submitted_at":"2026-07-29T09:05:40Z","title":"Rethinking Self-Evolution: A Constrained Exploration-Exploitation Process for Mitigating Skill Overfitting","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T11:46:01.048124Z"},"links":{"cited_paper":"/paper/2605.16508","citing_paper":"/paper/2607.26643"},"observation_digest":"sha256:59907e9acfc3dc8ea15cdcc9b80fd5d580fdbd4852c169cbf11f64db421fe1cf","observation_id":"96ed7f44-2c24-422d-8223-c11ce5dd7aed","resolution":{"observed_at":"2026-08-01T11:46:01.048124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.16508/citation-record","integrity":"/paper/2605.16508/integrity","json":"/paper/2605.16508/citation-record.json","paper":"/paper/2605.16508"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T20:07:33.958459Z","title":"A survey on large language model based autonomous agents.Frontiers of Computer Science, 18(6):186345","venue":null,"work_id":"22d0f278-0f8d-4a9a-941a-1a0feef5523b","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:c5a706c48eefeacdbc8577a3e0c48415b1fb02b2ebfbcf03fa1b98704c355f53","observation_id":"086ee6ce-ff99-4d97-bc83-0abd09e1803f","resolution":{"observed_at":"2026-05-20T18:13:38.190139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Llm-based agents for tool learning: A survey.Data Science and Engineering","venue":null,"work_id":"e7e322e4-047f-42d1-acfe-6cb322c10029","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:76368976af677675f7b188fd7d4730efc142f5ba061268c4b42a36a2bb985b79","observation_id":"abe466a0-6ff7-44b0-b3ee-0f4272ea2695","resolution":{"observed_at":"2026-05-20T18:13:38.245004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16416","last_updated":"2026-04-23T17:36:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-20T17:59:23Z","title":"Survey on Evaluation of LLM-based Agents","version":2},"cited_work":{"arxiv_id":"2503.16416","doi":"10.48550/arxiv.2503.16416","metadata_source":"pith","pith_arxiv_id":"2503.16416","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Survey on Evaluation of LLM-based Agents","venue":"cs.AI","work_id":"d9ac1186-88b1-41bd-9bc7-8a0b87e6f305","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2503.16416","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:5b445555af83adf786943f2c3b12a98b17e0957026f12ca3d724d494ec1c37ff","observation_id":"78afe9d4-8717-428e-a66b-15fe61a9b6d8","resolution":{"observed_at":"2026-05-20T18:13:37.663969Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-11T06:20:44.248546+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T06:20:44.248546+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Toolformer: Language models can teach themselves to use tools","venue":null,"work_id":"01eaf510-4f73-4ea2-9097-d7977faa6313","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:41aeeba1faef8332219312e514d9029b88f4043341b12387de6c4f39ec2ad62f","observation_id":"86f48876-50e5-4cff-b170-0b0dc1747511","resolution":{"observed_at":"2026-05-20T18:13:38.307101Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16789","last_updated":"2023-10-03T14:45:48Z","snapshot_observed_at":"2026-07-06T16:00:46.542753Z","submitted_at":"2023-07-31T15:56:53Z","title":"ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs","version":2},"cited_work":{"arxiv_id":"2307.16789","doi":"10.48550/arxiv.2307.16789","metadata_source":"pith","pith_arxiv_id":"2307.16789","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs","venue":"cs.AI","work_id":"3c555b48-a4d9-42dd-9fdd-0f6018fbe9cb","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2307.16789","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:bd0c9533980f46787e2c9fe46f9f25d30070c5adad187a0fdb1ba6d7d7c9dba8","observation_id":"5ef10311-38bd-459e-95ed-fb1d1ab8968c","resolution":{"observed_at":"2026-05-20T18:13:37.656732Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:33.730697+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:33.730697+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15334","last_updated":"2023-05-24T16:48:11Z","snapshot_observed_at":"2026-08-14T14:07:14.900729Z","submitted_at":"2023-05-24T16:48:11Z","title":"Gorilla: Large Language Model Connected with Massive APIs","version":1},"cited_work":{"arxiv_id":"2305.15334","doi":"10.48550/arxiv.2305.15334","metadata_source":"pith","pith_arxiv_id":"2305.15334","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gorilla: Large Language Model Connected with Massive APIs","venue":"cs.CL","work_id":"126a464a-4a73-495f-b669-de1e44aa8f09","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2305.15334","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:fcb7e4270521a9977e41b8840ed95d3a2bef7b1a0480a773c10175df439be343","observation_id":"14b7ce0d-9ae0-4890-b3a1-de9b526baf26","resolution":{"observed_at":"2026-05-20T18:13:37.565097Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08244","last_updated":"2023-10-25T06:54:12Z","snapshot_observed_at":"2026-08-02T00:07:12.855748Z","submitted_at":"2023-04-14T14:05:32Z","title":"API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs","version":2},"cited_work":{"arxiv_id":"2304.08244","doi":"10.48550/arxiv.2304.08244","metadata_source":"pith","pith_arxiv_id":"2304.08244","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs","venue":"cs.CL","work_id":"a20d9332-ab34-485c-a060-1ba47cc98930","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2304.08244","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:36204998bfa10dee7de0b161a29fe5de56dbea1bb103c3758757ee6922cdec5c","observation_id":"6c47fd8d-faee-444e-8d3f-da9f3b66d61f","resolution":{"observed_at":"2026-05-20T18:13:37.648430Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:20:23.914543+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:20:23.914543+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.18760","last_updated":"2024-11-01T14:37:37Z","snapshot_observed_at":"2026-08-14T18:32:30.072635Z","submitted_at":"2023-11-30T18:02:44Z","title":"TaskBench: Benchmarking Large Language Models for Task Automation","version":4},"cited_work":{"arxiv_id":"2311.18760","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.18760","snapshot_observed_at":"2026-07-03T21:18:59.738705Z","title":"name\" - concise snake_case identifier -","venue":null,"work_id":"b61538cd-9b66-42fd-831b-0f003ecaeb93","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2311.18760","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:cdb45f56329d78dc63064a7e964659b3e85f29ac5421509f8e4328cb8d266a20","observation_id":"ba5974ba-b04f-4dc3-92ec-390f9993e4d4","resolution":{"observed_at":"2026-05-20T18:13:37.585700Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.12670","last_updated":"2026-03-13T07:33:01Z","snapshot_observed_at":"2026-08-12T09:12:28.700231Z","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":"2026-08-05T02:28:24.338817Z","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":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2602.12670","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:35685e935797f724cbde6f7da9e286b6ebcb6f02be7e9fe0da28bab723a1a652","observation_id":"29efb6f4-009e-44cc-aa79-de12ee4cadf8","resolution":{"observed_at":"2026-05-20T18:13:37.611028Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.22455","last_updated":"2026-07-20T07:40:09Z","snapshot_observed_at":"2026-08-13T14:10:01.327731Z","submitted_at":"2026-03-23T18:23:59Z","title":"SkillRouter: Skill Routing for LLM Agents at Scale","version":5},"cited_work":{"arxiv_id":"2603.22455","doi":"10.48550/arxiv.2603.22455","metadata_source":"arxiv_reference","pith_arxiv_id":"2603.22455","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Skillrouter: Retrieve-and-rerank skill selection for llm agents at scale","venue":"arXiv (Cornell University)","work_id":"07f70041-6a66-424d-ba53-819c03e42308","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2603.22455","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:5d846b64643a4e8ade4236edd858dff3ee662ed8bcdcf57e645e8170a90b85b2","observation_id":"184c67a8-1d2d-4784-b614-418db3778f0e","resolution":{"observed_at":"2026-07-21T02:21:33.547916Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.09567","last_updated":"2025-07-18T15:57:54Z","snapshot_observed_at":"2026-08-08T22:33:20.124926Z","submitted_at":"2025-03-12T17:35:03Z","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","version":5},"cited_work":{"arxiv_id":"2503.09567","doi":"10.48550/arxiv.2503.09567","metadata_source":"pith","pith_arxiv_id":"2503.09567","snapshot_observed_at":"2026-07-10T18:57:31.639044Z","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","venue":"cs.AI","work_id":"0b361fed-cf2a-4b90-b61a-de88de4b8840","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2503.09567","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:fdf0223f81988a3feaea5332806720b3d189125bdd48c5555496640fb5b09ed6","observation_id":"0f296bff-16ee-4244-b22e-70a0502e151f","resolution":{"observed_at":"2026-05-20T18:13:37.582017Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:19.477611+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:19.477611+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.01903","last_updated":"2025-08-05T16:19:40Z","snapshot_observed_at":"2026-08-08T04:30:09.801268Z","submitted_at":"2025-07-02T17:19:20Z","title":"AI4Research: A Survey of Artificial Intelligence for Scientific Research","version":2},"cited_work":{"arxiv_id":"2507.01903","doi":"10.48550/arxiv.2507.01903","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.01903","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AI4Research","venue":"ArXiv.org","work_id":"8434d9d4-cce5-4158-b4f0-acc351e5bb4c","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2507.01903","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:857f60ff9118ee0757d1f98f468de64748dcfbb5f01fdf7fca1ea49bf9b8fc59","observation_id":"3f4468cb-6236-49e1-8623-da83a4b65232","resolution":{"observed_at":"2026-05-20T18:13:37.629993Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:19.926431+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:19.926431+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21046","last_updated":"2026-01-16T20:59:08Z","snapshot_observed_at":"2026-08-01T06:32:44.461162Z","submitted_at":"2025-07-28T17:59:05Z","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","version":4},"cited_work":{"arxiv_id":"2507.21046","doi":"10.48550/arxiv.2507.21046","metadata_source":"pith","pith_arxiv_id":"2507.21046","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence","venue":"cs.AI","work_id":"f5de9511-98bf-411c-9eba-e8b7a914ec18","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2507.21046","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:b6dbb51d2848c8919e65205ec96c5b4851b971872ddc530aad0abf0425a79ded","observation_id":"d717f805-c881-4bdf-812b-29608f94e23c","resolution":{"observed_at":"2026-05-20T18:13:37.660326Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-01T10:08:10.122082+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-01T10:08:10.122082+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.12430","last_updated":"2026-06-02T16:14:54Z","snapshot_observed_at":"2026-08-06T11:11:16.632352Z","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":"2026-08-05T02:28:24.338817Z","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":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2602.12430","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:9a48163e86f9e311e593bf002bf74c58efc3d5e4b8bffb072624e25dbb6d9c56","observation_id":"99626512-9bdd-434a-8b4f-86492da096ab","resolution":{"observed_at":"2026-05-20T18:13:37.623312Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.05301","last_updated":"2023-09-07T12:20:45Z","snapshot_observed_at":"2026-08-11T16:55:59.039497Z","submitted_at":"2023-06-08T15:46:32Z","title":"ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases","version":2},"cited_work":{"arxiv_id":"2306.05301","doi":"10.48550/arxiv.2306.05301","metadata_source":"pith","pith_arxiv_id":"2306.05301","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases","venue":"cs.CL","work_id":"e900f660-9178-4fda-ad54-a788e23aa0d8","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2306.05301","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:3a83fa596f8ceb5be26cffb610d11db0b3a64108f3d12d18baf8b4b35674b827","observation_id":"02ddc2c7-5774-4d2c-9204-2efd240ec33b","resolution":{"observed_at":"2026-05-20T18:13:37.614372Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.10634","last_updated":"2023-10-16T17:54:53Z","snapshot_observed_at":"2026-08-13T05:48:11.884972Z","submitted_at":"2023-10-16T17:54:53Z","title":"OpenAgents: An Open Platform for Language Agents in the Wild","version":1},"cited_work":{"arxiv_id":"2310.10634","doi":"10.48550/arxiv.2310.10634","metadata_source":"arxiv_reference","pith_arxiv_id":"2310.10634","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Openagents: An open platform for language agents in the wild","venue":"arXiv (Cornell University)","work_id":"0133468f-910c-4941-9f91-3ee10f61cdcc","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2310.10634","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:ddcb7554f7e6502b31a1d7bfe0a49a3828099588540b9c7a14f041593fe8ea95","observation_id":"198895a7-6067-4064-bb95-c8445a178843","resolution":{"observed_at":"2026-05-20T18:13:37.589261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03688","last_updated":"2025-10-04T03:54:18Z","snapshot_observed_at":"2026-08-13T14:09:17.964744Z","submitted_at":"2023-08-07T16:08:11Z","title":"AgentBench: Evaluating LLMs as Agents","version":3},"cited_work":{"arxiv_id":"2308.03688","doi":"10.1109/fllm63129.2024.10852426","metadata_source":"pith","pith_arxiv_id":"2308.03688","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"AgentBench: Evaluating LLMs as Agents","venue":"cs.AI","work_id":"a37549b4-4c94-412d-acc4-4efeb08509be","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2308.03688","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:53dab5196c4994592698b909c5aa3a5de927b6c93fd7edb224d1719fd9ddd6e1","observation_id":"895cdbad-1a46-4161-8799-dafbe8381c36","resolution":{"observed_at":"2026-05-20T18:13:37.653968Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2602.20867","last_updated":"2026-02-24T13:11:38Z","snapshot_observed_at":"2026-08-14T19:45:58.327526Z","submitted_at":"2026-02-24T13:11:38Z","title":"SoK: Agentic Skills -- Beyond Tool Use in LLM Agents","version":1},"cited_work":{"arxiv_id":"2602.20867","doi":"10.48550/arxiv.2602.20867","metadata_source":"pith","pith_arxiv_id":"2602.20867","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SoK: Agentic Skills -- Beyond Tool Use in LLM Agents","venue":"cs.CR","work_id":"db16e56a-bf5c-4b9b-ab0e-2c76449f4dcb","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2602.20867","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:33f14bb20b21682e751b2732c1a6cc1642c34fbca1fa5fb290d719442dffbf7d","observation_id":"684a6776-819c-41d8-b0e1-8815fd6f8932","resolution":{"observed_at":"2026-05-20T18:13:37.617718Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.10132","last_updated":"2025-01-17T11:41:53Z","snapshot_observed_at":"2026-08-14T18:32:31.640019Z","submitted_at":"2025-01-17T11:41:53Z","title":"ComplexFuncBench: Exploring Multi-Step and Constrained Function Calling under Long-Context Scenario","version":1},"cited_work":{"arxiv_id":"2501.10132","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.10132","snapshot_observed_at":"2026-06-29T13:13:27.295521Z","title":"ComplexFuncBench: Exploring multi-step and constrained function calling under long-context scenario","venue":null,"work_id":"032fd075-966f-46cd-b9f4-8b03ac993484","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2501.10132","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:942fd53a3f10f719ab1adc3248b9b09915c8832e4cb968dc051a5b34b93c94a9","observation_id":"2fc5809e-1e62-4e1d-98c9-c1437ec70499","resolution":{"observed_at":"2026-05-20T18:13:37.604607Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"BiasBusters: Uncovering and mitigating tool selection bias in large language models","venue":null,"work_id":"1599cb0a-0092-47c1-bd30-c584623badc5","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:6fe78c8f3254d173a2100d07e241590f4b1d0bfbc400cec1eaa694c552d6df01","observation_id":"d840394f-0ef3-4aeb-9d12-5f45863a08c9","resolution":{"observed_at":"2026-05-20T18:13:38.232635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.08439","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T16:58:42.694168Z","title":"xRouter: Training cost-aware LLMs orchestration system via reinforcement learning","venue":null,"work_id":"c2720417-aed4-44ee-8514-7c9105a0e788","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:5c1e10684a1ba7f2c83c3cb2f007cad74d6b6684fcfe0d14fafc158fa95c8409","observation_id":"4bb0b22e-062d-4b84-8d74-03a8fb5a8bdb","resolution":{"observed_at":"2026-05-20T18:13:37.592545Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.02695","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"EvoRoute: Experience-driven self-routing LLM agent systems","venue":null,"work_id":"1bdcfd50-85f0-447b-8aa9-889c628733e4","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:d9325523a1f6cf0fce59f90bb3647e522515c5acc50f7cece881379b050dbff0","observation_id":"2f5bf26c-c4ae-45e2-958c-9f440d63d918","resolution":{"observed_at":"2026-05-20T18:13:37.595724Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.14650","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-01T08:45:34.988855Z","title":"Autotool: Efficient tool selection for large language model agents","venue":null,"work_id":"a436070f-b471-4af8-9791-7f64dfdea61c","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:2319411b938ea3bfe91add457ab2afe1e09bce02c5fcce5f8f2f7cfd3f2fb209","observation_id":"1ecc9216-24d2-4289-813c-e07338043a54","resolution":{"observed_at":"2026-05-20T18:13:37.558550Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2601.12680","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Meta- toolagent: Towards generalizable tool usage in llms through meta-learning","venue":null,"work_id":"fe9294d1-51c5-45da-b65a-335512411812","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:ad87be0bab4d04e03e447520f51c7498267a18bf5571c7dd09ac5bbe1c402112","observation_id":"b858b10f-5f6b-4602-914c-796b297b939f","resolution":{"observed_at":"2026-05-20T18:13:37.601673Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-07-09T05:56:02.447528Z","title":"ReAct: Synergizing reasoning and acting in language models","venue":null,"work_id":"1ae5dc39-fc24-4009-b873-2b12af346d25","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:c10020fafc1500d44ce758230f03a476c2a2c88a1fd6708f82640c6022046208","observation_id":"d20aaca6-7409-4b70-b84d-d4f5f3789a3a","resolution":{"observed_at":"2026-05-20T18:13:38.247147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.acl-long.147","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models","venue":null,"work_id":"4f3d6305-8779-429c-ac2c-14562b2377c6","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:7d76e7ac220d9242137db08ce6e5ba141f58737b11691700aa72638ec658ab45","observation_id":"789429eb-5914-4e19-bb43-51cce8facaf1","resolution":{"observed_at":"2026-05-20T18:13:37.089564Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-24T01:24:49.72957+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:49.72957+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.11366","last_updated":"2023-10-10T05:21:45Z","snapshot_observed_at":"2026-08-10T17:44:16.302071Z","submitted_at":"2023-03-20T18:08:50Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","version":4},"cited_work":{"arxiv_id":"2303.11366","doi":"10.1109/cvpr42600.2020","metadata_source":"pith","pith_arxiv_id":"2303.11366","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Reflexion: Language Agents with Verbal Reinforcement Learning","venue":"cs.AI","work_id":"778f739e-5f55-4961-8a2a-e4736a2757f4","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2303.11366","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:428acb8ca03dcd68bf58d953ea9035ae295d301cdd3fdfd371b2eafd11daf7c5","observation_id":"07649ac1-5d7c-4286-8996-b488f1925fc8","resolution":{"observed_at":"2026-05-20T18:13:37.651300Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17580","last_updated":"2023-12-03T18:17:21Z","snapshot_observed_at":"2026-08-12T12:50:51.005571Z","submitted_at":"2023-03-30T17:48:28Z","title":"HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face","version":4},"cited_work":{"arxiv_id":"2303.17580","doi":"10.48550/arxiv.2303.17580","metadata_source":"pith","pith_arxiv_id":"2303.17580","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face","venue":"cs.CL","work_id":"f20ed1da-2676-4598-a11b-54549718735b","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2303.17580","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:0900ff3dd759694a858ca1d0c1fa871b078dfe42cdc06af3ace5a765968811f8","observation_id":"457a730f-24ca-452d-b02a-896fbceab62c","resolution":{"observed_at":"2026-05-20T18:13:37.633626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:34.235168+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:34.235168+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00352","last_updated":"2024-11-01T14:36:52Z","snapshot_observed_at":"2026-08-12T16:02:21.969968Z","submitted_at":"2023-08-01T07:49:10Z","title":"MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework","version":7},"cited_work":{"arxiv_id":"2308.00352","doi":"10.48550/arxiv.2308.00352","metadata_source":"pith","pith_arxiv_id":"2308.00352","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework","venue":"cs.AI","work_id":"891b9780-a800-4e3c-bba0-53597ab8dc98","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2308.00352","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e5edd6ec6afa970768bcf60c567c1c6768a193ea6ca4b54c55cec82821e3b62f","observation_id":"f1f33f56-91ca-480d-b172-09c6962f4dd1","resolution":{"observed_at":"2026-05-20T18:13:37.572049Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.16291","last_updated":"2023-10-19T16:27:03Z","snapshot_observed_at":"2026-08-13T16:55:46.498156Z","submitted_at":"2023-05-25T17:46:38Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","version":2},"cited_work":{"arxiv_id":"2305.16291","doi":"10.18653/v1/2023.emnlp-main.118","metadata_source":"pith","pith_arxiv_id":"2305.16291","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Voyager: An Open-Ended Embodied Agent with Large Language Models","venue":"cs.AI","work_id":"ffe0d207-86cf-4742-a100-e988ac8b9676","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2305.16291","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:68caae7b3d0841d8d7da8a029ab850b7f9bc3e710ceba29fbbdbb2910d47b345","observation_id":"7cdb49c2-661a-4d66-b7cd-4b241dfe02f5","resolution":{"observed_at":"2026-05-20T18:13:37.645812Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17541","last_updated":"2024-06-20T02:53:20Z","snapshot_observed_at":"2026-08-13T05:14:36.591429Z","submitted_at":"2023-11-29T11:23:42Z","title":"TaskWeaver: A Code-First Agent Framework","version":3},"cited_work":{"arxiv_id":"2311.17541","doi":"10.48550/arxiv.2311.17541","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.17541","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Taskweaver: A code-first agent framework","venue":"arXiv (Cornell University)","work_id":"456c13ec-7e66-4899-b628-5d5a397d5e33","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2311.17541","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:23e3448610f37a814678c79fd293f51ba6cb9055ff7eb8bd3c79bc7da4959f0e","observation_id":"42700f14-ab5b-497a-95be-078776e5d02b","resolution":{"observed_at":"2026-05-20T18:13:37.561727Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.10691","last_updated":"2024-03-12T15:53:06Z","snapshot_observed_at":"2026-08-13T10:09:53.298794Z","submitted_at":"2023-09-19T15:25:42Z","title":"MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback","version":3},"cited_work":{"arxiv_id":"2309.10691","doi":"10.48550/arxiv.2309.10691","metadata_source":"arxiv_reference","pith_arxiv_id":"2309.10691","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MINT: Evaluating LLMs in multi-turn interaction with tools and language feedback","venue":"arXiv (Cornell University)","work_id":"779a6fb4-3e49-40f8-a8b8-f57cbc3db5c3","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2309.10691","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:960ee28620e1bda4adf815d03388adeb874cc61aec88fe453563bc08674fc3c5","observation_id":"310ebe67-b272-46ba-a4de-a4da00752f82","resolution":{"observed_at":"2026-05-20T18:13:37.568810Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-20T23:23:35.799178+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-20T23:23:35.799178+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.04253","last_updated":"2024-02-06T18:59:57Z","snapshot_observed_at":"2026-08-13T13:43:17.078458Z","submitted_at":"2024-02-06T18:59:57Z","title":"AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls","version":1},"cited_work":{"arxiv_id":"2402.04253","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.04253","snapshot_observed_at":"2026-07-03T21:18:59.744091Z","title":"Anytool: Self-reflective, hierarchical agents for large-scale api calls","venue":null,"work_id":"c86cacba-590b-4642-8164-0e72e0aacaab","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2402.04253","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:d0703b1c5d7ef0b65137a3a0900a88eb5365ced85c5a9d2373363c79818aa9a8","observation_id":"f2c3f68d-2ea1-487c-9076-26900b9fb1f8","resolution":{"observed_at":"2026-05-20T18:13:37.636657Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.21504","last_updated":"2025-07-29T04:57:02Z","snapshot_observed_at":"2026-08-13T15:56:19.697323Z","submitted_at":"2025-07-29T04:57:02Z","title":"Evaluation and Benchmarking of LLM Agents: A Survey","version":1},"cited_work":{"arxiv_id":"2507.21504","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.21504","snapshot_observed_at":"2026-07-03T10:27:56.022361Z","title":"Evaluation and benchmarking of LLM agents: A survey","venue":null,"work_id":"af80895a-d45c-407b-a5d7-872b1b97f735","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2507.21504","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:a3313befce1e4c4196ecf7a36dd5143de3e04546faab025f1814eb2346811d70","observation_id":"83459fa1-372a-4927-952a-000830629ab0","resolution":{"observed_at":"2026-05-20T18:13:37.607891Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-08-13T17:41:53.092611Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:9857415a86831dd0a620a6537d2b0505ba0e5d2df1f22761964d52b7862a573a","observation_id":"fc932d3b-c710-4349-88c7-e513da7f760b","resolution":{"observed_at":"2026-05-20T18:13:37.620143Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.15556","last_updated":"2022-03-29T13:38:03Z","snapshot_observed_at":"2026-08-09T19:52:33.533277Z","submitted_at":"2022-03-29T13:38:03Z","title":"Training Compute-Optimal Large Language Models","version":1},"cited_work":{"arxiv_id":"2203.15556","doi":"10.1098/rsta.2024.0522","metadata_source":"pith","pith_arxiv_id":"2203.15556","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Training Compute-Optimal Large Language Models","venue":"cs.CL","work_id":"b2faf28d-86b7-429c-bc42-469458efc246","year":2022},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2203.15556","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:57cd855edd4f10c897d9ce14ca5bb3c9e5bd716260a1f0c79a56a3b9b6541b32","observation_id":"15ce077f-a45d-4547-987a-f19ff33177ad","resolution":{"observed_at":"2026-05-20T18:13:37.554400Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Emergent abilities of large language models.Transactions on Machine Learning Research","venue":null,"work_id":"14539b07-f7e9-4100-a21c-ec14083b0e40","year":2022},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:ff9a5f76e43bb4aa16426fe1989a170982312f09135f882d52a57e48b128d80e","observation_id":"74f716e2-c62b-4f3a-9b15-75c628b4a8bf","resolution":{"observed_at":"2026-05-20T18:13:38.242491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2025.findings-acl.688","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Chatterji, Sharan Narang, Mike Lewis, and Dieuwke Hupkes","venue":null,"work_id":"a4cb4f1e-b3dc-49dd-97b1-4e4c8696e4c9","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:d8532ff59d16d59aa75e69122de6290f093ca716010ec2eedbf7de1e9491dadb","observation_id":"de746de4-bb58-4061-94f4-06fdc71e5905","resolution":{"observed_at":"2026-05-20T18:13:37.083004Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-24T01:24:50.072582+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:50.072582+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2603.11709","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Scaling laws for educational AI agents","venue":null,"work_id":"136c9be0-2018-46c8-aa5e-249c9840ba41","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:48d60c5d86c1f626f4473cb6a2f37cc894f2dc3217f99bf2809a43d670b24a16","observation_id":"d369ce13-6fc6-4972-a411-e516dcbd093f","resolution":{"observed_at":"2026-05-20T18:13:37.598661Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Dense passage retrieval for open-domain question answering","venue":null,"work_id":"fdefa1e2-028a-492b-98d4-4dc58e4ef9f9","year":2020},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e431b6bc7b13556c843675b3e1bb660bf9ed3847ccf36da1d27d6bb7628d6791","observation_id":"b1a94159-c4d0-4ffd-93f6-104ebf28ff1e","resolution":{"observed_at":"2026-05-20T18:13:38.240609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Retrieval-augmented generation for knowledge- intensive NLP tasks","venue":null,"work_id":"3cb226fa-fb89-4fad-9672-2a2fe92528a9","year":2020},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:31701661689f63ed089610b9cf7d96b3d4223c58ca2703725f4c29433d4fb2a8","observation_id":"f1d344b9-d06e-41cb-a80d-1fd9dee40865","resolution":{"observed_at":"2026-05-20T18:13:38.246227Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Sentence-BERT: Sentence embeddings using siamese BERT-networks","venue":null,"work_id":"11b98f9a-160f-4a02-910d-d40eaf7b2ba1","year":2019},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:b1575ac5cab2a2b9bd9af0e20a9d454052aa5e8148194517e0566e4b32aa39da","observation_id":"623f91e8-aa85-4a1e-8c7b-d7d4ab34aed5","resolution":{"observed_at":"2026-05-20T18:13:38.232935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"MTEB: Massive text embedding benchmark","venue":null,"work_id":"48a8865a-1a69-44b8-8b54-a9a455042d05","year":2023},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:c501ccdb9363a8d95dd438aa231cbd58e46d8334fd5dcf5f1655989c70d939bd","observation_id":"6babd043-5653-4fc4-82ad-9f81d777b3dc","resolution":{"observed_at":"2026-05-20T18:13:38.230736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"e04fd8ab-97fe-4b68-9b65-76059cca5af1","year":1952},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:50759a25cfc1ba62a3daea63ffccd6e78a5d6a2199d6d1d337dfdcbda6051523","observation_id":"85e7fcab-81eb-48fd-901d-18349d0b4dfc","resolution":{"observed_at":"2026-05-20T18:13:38.248575Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Stimulus information as a determinant of reaction time.Journal of Experimental Psychology, 45 (3):188–196","venue":null,"work_id":"d9ff61b8-7eaf-497b-8717-01f64668aae8","year":1953},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:f6616f1aaf58455e7a90e77233ecc1038d24bc719e3bbe61da75d8b487a511c0","observation_id":"de0bb1ca-fa05-4b2b-8f5f-ee215a147414","resolution":{"observed_at":"2026-05-20T18:13:38.253362Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Github - anthropics/skills: Public repository for agent skills","venue":null,"work_id":"d32539e4-255d-4279-a028-ecf7fd77fe08","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:93f2ed728dba8f3d97672fd84b96d5f76bf83e2f1a22f1d83bee47675551395d","observation_id":"ad4f22ab-c08d-4694-aa1c-719cf0734ea8","resolution":{"observed_at":"2026-05-20T18:13:38.257862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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 code","venue":null,"work_id":"4743111b-4b1f-4595-a1b4-3416ab85df72","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e7968a22081fdc28e4e7b809301871f50681f3d567e78f529eee0aa057a49a3e","observation_id":"1f5318dd-30e4-4db9-8941-316b6cc2536a","resolution":{"observed_at":"2026-05-20T18:13:38.250749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Introducing the model context protocol","venue":null,"work_id":"4748bb8c-4798-4832-ae57-cafc6b8b3877","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:3d2ebd0ad8aa35d34909ca85b47b9abecd28c9c9e84d021e7a49913114596d32","observation_id":"abf0e788-d4ee-454f-8444-a3de8399d5ea","resolution":{"observed_at":"2026-05-20T18:13:38.221149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Github - trailofbits/skills: Trail of bits claude code skills for security research, vulnerability detection, and audit workflows.https://github.com/trailofbits/skills","venue":null,"work_id":"dcebdad5-214e-45b2-bbc7-8dacbd7248c5","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:afdb172001d6a5dbae0e59828b4433fc551ef0287510b4e74c6cedb57148f313","observation_id":"e8c64544-c4cd-4803-bbb7-3067e8b0b6e1","resolution":{"observed_at":"2026-05-20T18:13:38.243888Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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 code skills marketplace","venue":null,"work_id":"8f15810b-dc2d-4cc2-97d9-71885fb027d8","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:dbd576b6ca91a8cb7ee5ff98766cbcec6f0efb32ab7aa7f27353c0c72d5ec7f9","observation_id":"50bc34b6-e824-4d98-a0c8-ba3637ff9c04","resolution":{"observed_at":"2026-05-20T18:13:38.235760Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"NET skills for claude code","venue":null,"work_id":"d9020f05-57c1-47df-91e7-db53e11ccf58","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:914634659117bdf62f1e198de36ae919e6f66fcabcf3d9ef80622ab11f813c53","observation_id":"bb6ddbdb-08f5-45ff-b564-038926f53e60","resolution":{"observed_at":"2026-05-20T18:13:38.216437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"PinchBench github organization","venue":null,"work_id":"4d092df4-ba75-4079-a858-b7e9bc6401f2","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:78b18be0fb7802c660064f197342e1219ad966f147b6be75e77c49c8c637669d","observation_id":"24958d9a-5956-44da-88dd-fa604ff36986","resolution":{"observed_at":"2026-05-20T18:13:38.260225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Agentdeals.https://github.com/robhunter/agentdeals","venue":null,"work_id":"53c74323-4753-4240-8f05-4eb306bf1ebf","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:972a2cf148855b71d983c09bc7d243e06db2530d34c299d3ae2188c6a87637b8","observation_id":"9fb99964-a71d-4b50-8cc8-63f9e052b153","resolution":{"observed_at":"2026-05-20T18:13:38.265567Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.findings-acl","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unveiling the achilles’ heel of NLG evaluators: A unified adversarial framework driven by large language models","venue":null,"work_id":"86baafc8-462c-4c5d-9763-7d36c68a439e","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:693373e7a50cc9a1248de6b1df2339d8ef6347af65df28dfc31331cd39651c50","observation_id":"a5f69340-c7f3-41d2-b18d-8e903bb65f94","resolution":{"observed_at":"2026-05-20T18:13:37.085168Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-24T01:24:50.443461+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:50.443461+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+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":"e522c52d-2540-4cbd-b64c-3afdcfb1302f","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:005f57abb8e00fa52beba940c659017e1a456adad9ffdb57d9a0b4c5ba64caa0","observation_id":"9e6a24c5-3ac4-480e-8783-365692c34df5","resolution":{"observed_at":"2026-05-20T18:13:38.268127Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.11868","last_updated":"2026-01-17T01:29:30Z","snapshot_observed_at":"2026-07-06T22:41:58.373427Z","submitted_at":"2026-01-17T01:29:30Z","title":"Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces","version":1},"cited_work":{"arxiv_id":"2601.11868","doi":"10.48550/arxiv.2302.01973","metadata_source":"pith","pith_arxiv_id":"2601.11868","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces","venue":"cs.SE","work_id":"0624be05-1d97-4fd6-8300-b04b8a3ab04b","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2601.11868","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:704d2be854b651420a5eb5204a46ffed8e0cc4816ae1f1df7edb83ba5c770ebf","observation_id":"27abc1ab-56ef-4fc6-9416-469e0595125f","resolution":{"observed_at":"2026-05-20T18:13:37.642484Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12045","last_updated":"2024-06-17T19:33:08Z","snapshot_observed_at":"2026-08-14T14:24:18.501413Z","submitted_at":"2024-06-17T19:33:08Z","title":"$\\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains","version":1},"cited_work":{"arxiv_id":"2406.12045","doi":"10.48550/arxiv.2406.12045","metadata_source":"pith","pith_arxiv_id":"2406.12045","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"$\\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains","venue":"cs.AI","work_id":"6a8d8dc4-0cc0-4052-8109-abbcdcd4a962","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2406.12045","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:ba3843850cdbc19604f6f5d1b636ab49dac1aafaa988d3b989fc54601a0c355a","observation_id":"db4e3367-6b44-43cd-ab34-54ed1b4356bd","resolution":{"observed_at":"2026-05-20T18:13:37.575455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:20:21.86453+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:20:21.86453+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.07982","last_updated":"2025-06-09T17:52:18Z","snapshot_observed_at":"2026-08-14T06:34:01.114459Z","submitted_at":"2025-06-09T17:52:18Z","title":"$\\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment","version":1},"cited_work":{"arxiv_id":"2506.07982","doi":"10.48550/arxiv.2506.07982","metadata_source":"pith","pith_arxiv_id":"2506.07982","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"$\\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment","venue":"cs.AI","work_id":"3a498b1a-455f-4667-b572-c5216c99a89c","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2506.07982","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:c5485740a638eae0d268a75cc8c42885d2e927b580044a544b8f95a7de6c210a","observation_id":"88f97489-e255-4f18-8959-5dbf5adf40a3","resolution":{"observed_at":"2026-05-20T18:13:37.639254Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-07-14T18:20:22.129969+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-14T18:20:22.129969+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2024.findings-emnlp.638","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Flow- Bench: Revisiting and benchmarking workflow-guided planning for LLM-based agents","venue":null,"work_id":"69682310-253c-4f19-8d43-22520a585086","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:295ad6ae6ace0a559b3b3dff632df292f7fce7c137ee508e8bd7d5739b676466","observation_id":"8b6a9c28-a446-4e9c-884d-9b397b83e473","resolution":{"observed_at":"2026-05-20T18:13:37.087183Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-05-24T01:24:50.799631+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T01:24:50.799631+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Gpt-4o mini: advancing cost-efficient intelligence","venue":null,"work_id":"56dec3b4-ca7b-4fdf-91df-d50ad16d297a","year":2024},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:1b584486fe42ed12d4e0533bbc4461e9e2492b19b8fc254e4a10996bbc279771","observation_id":"a5ff57a2-6007-4cf6-aec0-a410502dbad7","resolution":{"observed_at":"2026-05-20T18:13:38.194716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Gpt-5 system card","venue":null,"work_id":"d123bbaf-2d7c-4612-91c2-cd9848c0c935","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:7d08603e5eb49f018458a3dff05a5e46998cbac2a66e82ec0bb7094b88c7382a","observation_id":"d486fc9c-3629-4037-a51a-0af627bc7bc0","resolution":{"observed_at":"2026-05-20T18:13:38.211485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Introducing gpt-5.4 mini and nano","venue":null,"work_id":"a168891d-c723-46c3-8303-680fc1345d27","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e30a6325ad88dbc73aa23cecba680cd959c2f3cc8d60b5adad5669f4b3f84ebf","observation_id":"f191868c-a939-4d99-a75f-5ef4f32e4f88","resolution":{"observed_at":"2026-05-20T18:13:38.203739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Introducing gpt-5.4.https://openai.com/index/introducing-gpt-5-4/","venue":null,"work_id":"8e6359d9-858f-4ee7-b999-424b7b0c3b02","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:b0f1a51917dff8405561bb6f90ceae6df1b8f7b6d6653c8102643d7c8966f795","observation_id":"08d93b34-b314-496e-bbe7-a736490dea98","resolution":{"observed_at":"2026-05-20T18:13:38.195415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Introducing claude sonnet 4.6.https://www.anthropic.com/news/claude-sonnet-4-6","venue":null,"work_id":"f47609d8-24a6-4148-a5bd-dd120485d155","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:016821156f8cefb4c07e2141fd309839bd6ed82c2b49e7047348cdc6f9c467e5","observation_id":"1c730a86-9690-4a6e-be7c-5f12f123921d","resolution":{"observed_at":"2026-05-20T18:13:38.198151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Introducing claude opus 4.6.https://www.anthropic.com/news/claude-opus-4-6","venue":null,"work_id":"9463ddb7-3f27-4c6d-8a17-f9539ddda5fa","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:db20f2ac05094dfbb8ccde239da10b44415a04d5a1650172d98e76b268553874","observation_id":"ffb68d1a-32c6-4a61-97a6-0d05612421c9","resolution":{"observed_at":"2026-05-20T18:13:38.201005Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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.Google DeepMind","venue":null,"work_id":"1f9694ef-b291-4b7a-8f7b-de76d24a5a3b","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:5acd7b07444b49ee9f1bcbb0be0c3b679870bb170e9faac744e818d8054449fc","observation_id":"80ee954f-0a5e-47d6-9916-2e53a96b9a0b","resolution":{"observed_at":"2026-05-20T18:13:38.209116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Glm-5: from vibe coding to agentic engineering","venue":null,"work_id":"9519f72f-2e79-4e3e-a9a3-ef92092bb192","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:3a01cbbb711b88aa358d1cfc4ac48925541b1c3f0469fad7742e9ee1e8aad681","observation_id":"798f9903-e3e7-4257-baee-04b10015b933","resolution":{"observed_at":"2026-05-20T18:13:38.214142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Glm-4.7: Advancing the coding capability.https://z.ai/blog/glm-4.7","venue":null,"work_id":"f08b7872-6a5f-446c-970e-9b9a6fba4126","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e75937c02660d683805d02484b6650fb9dc347c8725f88524457849a06c9d270","observation_id":"d80d842a-66cc-49ef-9749-560f1554d69e","resolution":{"observed_at":"2026-05-20T18:13:38.238203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Kimi k2.5: Visual agentic intelligence","venue":null,"work_id":"a89ad158-0668-4196-9b50-5febac44fedf","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:638537820747eb036fb1a852f8f09563eea83cccc75d6af9e4271ce90392ebd7","observation_id":"935be88b-864d-422d-b5d0-7e33696e7d98","resolution":{"observed_at":"2026-05-20T18:13:38.206583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Kimi k2.6: From code to creation, from one to many","venue":null,"work_id":"29ca8c51-58a3-4f87-b7da-1088f8c68d3b","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:7e9e48919211fcfc2e7819c32293991f3063dd6b180d1e672d6892700183a5dc","observation_id":"e682c445-8d03-4983-9461-670c5a163cfd","resolution":{"observed_at":"2026-05-20T18:13:38.304353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Seed 2.0 official launch","venue":null,"work_id":"5144a00e-1be2-4165-a806-7a02e3cf46fa","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:faa2cd6fe842257015498c74879d1abc43c957d5b364c4105897809d7dd50800","observation_id":"531d13e3-b094-491d-b70e-0631dc82ff80","resolution":{"observed_at":"2026-05-20T18:13:38.309422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Deepseek-v4:towards highly efficient million-token context intelligence.https://huggingface","venue":null,"work_id":"7805457b-0f2c-4953-a896-a47bf8efd609","year":2026},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:b60a357635a507e842acb82cb260b3679fc6ed2e5eeb2db37352401ee786bdf0","observation_id":"726f8561-63fa-459d-a937-bfdecee8eb81","resolution":{"observed_at":"2026-05-20T18:13:38.311781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:5fb97aba7804acfe36f1fcbc6f45c7730c4fef39dfa97c9228917b513a2d2618","observation_id":"e520c5c9-7539-4f4d-8389-72ac62df8ea0","resolution":{"observed_at":"2026-05-20T18:13:37.578846Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"d6d2cd88-d867-450c-b646-b1e5e7500950","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:34a4a6ffce32d8c12e824fc03ceee9404c0d13cd09e9a1dc48c005426cce212c","observation_id":"a509f3e2-f887-48a8-819a-48d61f980115","resolution":{"observed_at":"2026-05-20T18:13:38.295211Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"This is the scale-free local-crowding condition tested by the CI and semantic-gap diagnostics","venue":null,"work_id":"4323de04-978b-42a5-80d4-e805c1dfb968","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:8938c00a747aeaa182080950a4ca10b935e42c80ae5f194b093d9196683c04af","observation_id":"93abe91d-940e-48c4-8071-ae2951094038","resolution":{"observed_at":"2026-05-20T18:13:38.297981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Irrelevant distractors have negligi- ble𝑤𝑗; local near-misses dominate𝐶(𝑁)","venue":null,"work_id":"89b46a10-7e4d-4003-94ac-b64b4befe96f","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:6412f3a8c74e3e6325978c091550cda4740d960497c1a855001d43f9c0d8d50c","observation_id":"8046b567-327e-4158-97b7-6dc2ec6531cb","resolution":{"observed_at":"2026-05-20T18:13:38.262899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"5eb428a6-7076-4d09-a92c-4f5b62659944","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:fdc250828cccdf8a7c66b247150f448f9e7a1e5b90e059ea42aea84c1975bf45","observation_id":"b6cd39c7-039c-4c1d-9352-4f2a7144648d","resolution":{"observed_at":"2026-05-20T18:13:38.290121Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"67666eb9-4aa5-4e6f-85ed-6a8479c6d6aa","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:70872b375e360a73a935a73812b949f8332af4054db30f20ac8d454928b1fc24","observation_id":"fa793c67-ce79-45da-a92c-8c59601846c6","resolution":{"observed_at":"2026-05-20T18:13:38.272735Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Lemma 1 (Clustered libraries imply logarithmic effective competition).Under Assumption 2, Assumption 3 follows with𝐶1 =𝜅","venue":null,"work_id":"4182b6d0-b4de-4344-bdd1-ed428949fc94","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e74f1ad94b3f030a6afd4cc433f1c4ca24f243ec0a2d93195b8da195f4679b6e","observation_id":"0e978ef2-c601-4986-b682-1253988ad9ac","resolution":{"observed_at":"2026-05-20T18:13:38.238422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"40574659-3a5b-4a5a-9c16-d2368f7eb13a","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:4d8e655d126addd85f74dcd2d24f014dbe84558fd1a42b7e0f921137e4f675b5","observation_id":"d13d173d-450d-415e-8157-c0046fa7719b","resolution":{"observed_at":"2026-05-20T18:13:38.292520Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"4fb7ec9b-0bda-46e9-99b0-e056d26ae469","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:fea33f38b6115c4741e1bfc96dc55d168524c188453e29020b08d20e28e55959","observation_id":"7a54cbee-b395-4c5b-a706-db2bf58b36d7","resolution":{"observed_at":"2026-05-20T18:13:38.255510Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"041c270c-f35a-4025-be2e-a76eb7adf5fc","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:4e7b10e0e88083bd6899985f6ee60f0522d9cbcc875cdeda6d1a3c9f239235ab","observation_id":"49ae69a4-7701-4ec0-9d56-1a64ed1d3ea0","resolution":{"observed_at":"2026-05-20T18:13:38.287653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"6.Library relevance: at least one available skill is plausibly needed, even if the exact gold skill set is decided later","venue":null,"work_id":"d3bdfea0-0d07-4b80-abc6-b6b0ca7c42da","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:f08f273e0ad15f0b9b2d0caca5616e57d94401df44f6090d81f00bc8b389a0ff","observation_id":"fe97e713-6c7a-498e-b7d2-dad8b12059ad","resolution":{"observed_at":"2026-05-20T18:13:38.301394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"8.Single coherent request: the task should not bundle unrelated goals that would naturally be separate tasks","venue":null,"work_id":"180996fe-fd3a-46b6-b89b-e5d561296a3f","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:fa8ef5578cb1b6c263e5e4b7eedcbf67e3df241795ed874797c779dfcd870b43","observation_id":"f06e4022-c4fd-4f04-9cfc-ac24df31950a","resolution":{"observed_at":"2026-05-20T18:13:38.314181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Single-step tasks.Assign a gold skill set𝐺","venue":null,"work_id":"c120396c-86a4-4ead-97f1-bfb7c25c06ba","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e5a251117d313eeadfdbbe0ad1239606202cac5c770a0dce1341411e596ea761","observation_id":"ea213951-73c9-4ab6-997f-2b2a8bae75ca","resolution":{"observed_at":"2026-05-20T18:13:38.280604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"39c81696-6d59-4624-a6e0-ebd2a9ec04e6","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:79e4ab8e5e73ecd756c33421771fe53c9efb83674fbd8834454d1975636f79ce","observation_id":"60af0fb9-8db1-42c8-a360-07d25718d53e","resolution":{"observed_at":"2026-05-20T18:13:38.270326Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2ffca63a-3529-41c3-a48a-ca13449cdc25","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:84f2f90354db2d41265b30897e51113a36856e43eaff2a58ecc2a61905a3afa4","observation_id":"ef8037e8-50f9-4da9-b161-e9b3e8ba9a0d","resolution":{"observed_at":"2026-05-20T18:13:38.282987Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"80271cc7-7781-4bed-b00c-7c52d1a8c92c","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:582b9a2ff33c5cd19c3dcbb09d1c0186f24ca78b7c90b1c740cc67985d399e23","observation_id":"bb792871-31bf-4b80-aa7f-09856c12af21","resolution":{"observed_at":"2026-05-20T18:13:38.285191Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"468f1ca2-e298-4dbf-9971-6c649f59bc0e","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:e17e18a35e5e8c2a4c0aa62f445b7f2a2c307d21d31efc031059165857384e2c","observation_id":"e1fff68d-14c7-4f93-b681-8dd0f59a1a1e","resolution":{"observed_at":"2026-05-20T18:13:38.277741Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"Boundary Rewrite","venue":null,"work_id":"56fd3ad2-d88d-4907-8713-6e41af5ae459","year":null},"citing_paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-20T18:10:08.737710Z"},"links":{"citing_paper":"/paper/2605.16508"},"observation_digest":"sha256:a530914cab268638c68a889acb955a3f1d67d6bea2ca283c3191dd904126a5a0","observation_id":"bdd0e669-646b-4787-9f3f-5b71c2efa16b","resolution":{"observed_at":"2026-05-20T18:13:38.275399Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.16508","last_updated":"2026-05-15T18:05:21Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-15T12:39:53.236079Z","submitted_at":"2026-05-15T18:05:21Z","title":"The Scaling Laws of Skills in LLM Agent Systems"},"reference_resolution":{"displayed":90,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":12,"verified_exact":36,"verified_fuzzy":38},"total_outbound_references":90},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 2 inbound Pith citation observations for arXiv:2605.16508."}