{"as_of":"2026-08-09T14:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fc29b2640605b1bc2f4536a0ab6814d4390c5f8927c79297fed7a1d55619ef15","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:16:19.103974Z","state":"measured"},{"denominator":70,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":70,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:49:13.400815Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":1,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2511.00739","last_updated":"2026-04-16T18:23:56Z","snapshot_observed_at":"2026-08-03T23:57:10.965977Z","submitted_at":"2025-11-01T23:46:44Z","title":"Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T00:55:14.213746Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2511.00739"},"observation_digest":"sha256:942f2c0d5fbce1ad59619e5034a0b30b7efda0c1bc19593fe1be80bd61c975f4","observation_id":"de9f5e88-0396-4cdf-9bc0-54981f4437d3","resolution":{"observed_at":"2026-05-18T00:55:33.437323Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-03T03:01:33.057696Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.09345","last_updated":"2026-07-22T10:05:25Z","snapshot_observed_at":"2026-08-08T04:34:18.198612Z","submitted_at":"2026-02-10T02:37:42Z","title":"AgentCgroup: Understanding and Controlling OS Resources of AI Agents","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T03:01:33.057696Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2602.09345"},"observation_digest":"sha256:ee0cab6a4fc969b1d4dce14d486c6be07dc4178aa66913beb0e0ecb5af00cf0d","observation_id":"1fb063ac-fd65-4835-a3fd-f55fe4d19e3d","resolution":{"observed_at":"2026-08-03T03:01:33.057696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2604.16682","last_updated":"2026-04-17T20:39:25Z","snapshot_observed_at":"2026-07-06T23:03:57.199731Z","submitted_at":"2026-04-17T20:39:25Z","title":"KAIROS: Stateful, Context-Aware Power-Efficient Agentic Inference Serving","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T06:58:36.525442Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2604.16682"},"observation_digest":"sha256:1d1148732dda2f8bdb909831571b2d63ffa76457aa425b4ffe908e047500765c","observation_id":"54d5e47e-1669-4eff-a621-c99d4afd3551","resolution":{"observed_at":"2026-05-10T07:01:48.812243Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2605.16867","last_updated":"2026-05-16T08:01:12Z","snapshot_observed_at":"2026-07-06T23:27:57.805018Z","submitted_at":"2026-05-16T08:01:12Z","title":"GoodServe: Towards High-Goodput Serving of Agentic LLM Inferences over Heterogeneous Resources","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-19T19:31:43.015127Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2605.16867"},"observation_digest":"sha256:d35906af8890f138372c721996a3e00481597282356fc71b1fec32858ea3dca0","observation_id":"18f36b17-374a-4892-a635-27528016537d","resolution":{"observed_at":"2026-05-19T19:32:43.691287Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2605.26297","last_updated":"2026-05-25T19:45:21Z","snapshot_observed_at":"2026-08-03T04:38:08.316378Z","submitted_at":"2026-05-25T19:45:21Z","title":"Agentic AI Workload Characteristics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T20:11:50.722787Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2605.26297"},"observation_digest":"sha256:333f50b4999042b82cb04796ee0317345e160a9506b429a82ca4ece070040cfb","observation_id":"03dd8185-ae85-420a-94d3-21f72f2251be","resolution":{"observed_at":"2026-06-29T20:13:58.827866Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2606.02963","last_updated":"2026-06-01T23:48:55Z","snapshot_observed_at":"2026-08-08T06:51:42.062018Z","submitted_at":"2026-06-01T23:48:55Z","title":"KForge: LLM-Driven Cross-Platform Kernel Generation for AI Accelerators","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-28T15:02:47.349477Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2606.02963"},"observation_digest":"sha256:586d7457cd77a6d5eea98fc4aa6b29c68b746543635e8f1382448a0cf0220751","observation_id":"86714c71-3015-4863-81cf-8883e01e0499","resolution":{"observed_at":"2026-07-01T22:46:19.704627Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2606.12835","last_updated":"2026-06-11T03:02:59Z","snapshot_observed_at":"2026-08-06T15:22:13.035676Z","submitted_at":"2026-06-11T03:02:59Z","title":"The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T05:31:33.715189Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2606.12835"},"observation_digest":"sha256:fd30d19fb079588e8b156e20cb2e751e21741c75ea0e34ec9449b70a2d4c0d84","observation_id":"84e45853-bdd8-43fa-b7d1-cd96eefd4f3f","resolution":{"observed_at":"2026-07-03T16:28:39.574783Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2507.19635","doi":"10.48550/arxiv.2507.19635","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient and scalable agentic ai with heteroge- neous systems","venue":"ArXiv.org","work_id":"e941b6ff-1d8f-46df-aee7-fe49bd8f1908","year":2025},"citing_paper":{"arxiv_id":"2606.18502","last_updated":"2026-06-16T21:30:10Z","snapshot_observed_at":"2026-08-07T12:54:24.865966Z","submitted_at":"2026-06-16T21:30:10Z","title":"Towards Scalable Customization and Deployment of Multi-Agent Systems for Enterprise Applications","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-27T00:17:52.014218Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2606.18502"},"observation_digest":"sha256:f300aaeca0bfd1d7832d3da0f0d8b955e5a73a67fe9b51e293103cbbad06bb0c","observation_id":"1ba8f67a-42bb-4894-a91b-515890b4d362","resolution":{"observed_at":"2026-07-03T21:38:58.947218Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-07-12T06:04:31.383714Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02925","last_updated":"2026-07-03T03:33:32Z","snapshot_observed_at":"2026-07-12T06:04:29.897110Z","submitted_at":"2026-07-03T03:33:32Z","title":"Agentic Orchestration of HPC Applications in Cloud","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-12T06:04:31.383714Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2607.02925"},"observation_digest":"sha256:21ee41f5d80d47871df2dfccc4a2ecef1100e1fb0a7aab718663c3a443825885","observation_id":"d0df7cde-2e1f-42f8-a694-e455935c18e9","resolution":{"observed_at":"2026-07-12T06:04:31.383714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.19635","snapshot_observed_at":"2026-08-06T23:49:13.400815Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04458","last_updated":"2026-08-05T05:31:33Z","snapshot_observed_at":"2026-08-08T23:11:43.152912Z","submitted_at":"2026-08-05T05:31:33Z","title":"Architectural Implications of Agentic AI Workflows","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:49:13.400815Z"},"links":{"cited_paper":"/paper/2507.19635","citing_paper":"/paper/2608.04458"},"observation_digest":"sha256:32d17b8f16e6a6f6055630b89f7652d114e8c685539dc4e8cde1ed456611db92","observation_id":"dd0f6d93-20a2-47bb-bf55-73ca6391e988","resolution":{"observed_at":"2026-08-06T23:49:13.400815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2507.19635/citation-record","integrity":"/paper/2507.19635/integrity","json":"/paper/2507.19635/citation-record.json","paper":"/paper/2507.19635"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:28.829907Z","title":"Survey surfaces rapid adoption of agentic AI","venue":null,"work_id":"428db8c0-67d1-4ec4-b685-4df28102d1f1","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:13.704139Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:8a4a7b3656f054de2094b8a9b1aca204a744a0567e1ef11452043a943992211f","observation_id":"8356ae7e-3238-4bbc-b187-230f62598d70","resolution":{"observed_at":"2026-08-06T14:16:28.888200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:28.634232Z","title":"96% of enterprises are expanding use of AI agents","venue":null,"work_id":"daa48cb7-f0aa-4172-8ee4-c4af5cc00c3e","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:13.792440Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:e42d9278a8542e1c5f8f303a207d04e1a84bee0dd127b50b63ee0b4f21c03337","observation_id":"e17bef9b-cfac-4866-860e-d65adda5d86d","resolution":{"observed_at":"2026-08-06T14:16:28.730439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:28.513104Z","title":"PwC’s AI agent survey","venue":null,"work_id":"0c91405b-48b7-4f47-aa93-d40377d4d9cc","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:13.864525Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:4b0b499878fdc264fcb752a5c5b7ba3c055021dec3fc5a220e00b3bc810e54b7","observation_id":"b69ea502-9a65-4624-8e27-33423d7ec30b","resolution":{"observed_at":"2026-08-06T14:16:28.564489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:28.290078Z","title":"ReAct: Synergizing reasoning and acting in language models, 2023","venue":null,"work_id":"c04f84cd-7eed-4b29-a5c4-9851cca73861","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:13.927828Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:b7669f593ca119da7344280cd54c5d0460609a2f1a7f15819877cd749a6f7355","observation_id":"c2bcfb35-2468-4240-a4ad-9fc5983a44ea","resolution":{"observed_at":"2026-08-06T14:16:28.401857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:28.147891Z","title":"Auto-GPT for online decision making: Benchmarks and additional opinions, 2023","venue":null,"work_id":"937b0b98-1ea1-4703-a2e9-3231df3d2076","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:13.978865Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:8b0f11858b5ffb2b996152ed4ef255a1548dad58f92fcfa4c3eb1bc9e9177d9d","observation_id":"0b0fd828-ff38-4ee4-add0-b3b387f18246","resolution":{"observed_at":"2026-08-06T14:16:28.205732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:28.003575Z","title":"CAMEL: Communicative agents for \"mind\" exploration of large language model society, 2023","venue":null,"work_id":"e825578a-8291-4cf4-a073-43f1f53c14de","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.035295Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:1148184dd4239d829a1cd2bd289f2aec78dd976752730d4225cc34d6141a04c0","observation_id":"a3653e51-63f6-4e48-8810-c602dde0fe02","resolution":{"observed_at":"2026-08-06T14:16:28.059996Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:27.843362Z","title":"AI agents under threat: A survey of key security challenges and future pathways, 2024","venue":null,"work_id":"3734a08c-5db9-4383-8e2c-605134d51cfc","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.102368Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:961f2d48731ee98efdc99abdff9a456abef807c24c49ebe448d0aea5ddd9fbfb","observation_id":"793d5400-2898-4d68-b31c-4605f3d90c9a","resolution":{"observed_at":"2026-08-06T14:16:27.895894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:27.694944Z","title":"Multi-agent collaboration via evolving orchestration, 2025","venue":null,"work_id":"7e0fd909-b77a-473d-ab16-fcf9c8048314","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.169716Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:5267ff6bf3c84140c66744afb969a51b588e25faaea04ebda531f8f894dca442","observation_id":"c2dc734e-88bb-41dc-80de-6b0d966b5330","resolution":{"observed_at":"2026-08-06T14:16:27.763079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:27.564839Z","title":"A survey of AI agent protocols, 2025","venue":null,"work_id":"d16776ad-6373-4df5-8aa1-a622c4a750a9","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.265198Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:234c1ce92be4971d57aeb5f43e7a60c35fa24d17bce36c984f3e897c0292299f","observation_id":"cc3c2b72-48f2-43c0-aa29-0cf0df9f2596","resolution":{"observed_at":"2026-08-06T14:16:27.622851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:27.412900Z","title":"Morley Mao, Beidi Chen, Fan Lai, and Atul Prakash","venue":null,"work_id":"83db747c-3725-4c4f-ac6a-8cc5fd175334","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.316488Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:2f3f559cf7932f8c82986cf9f008df46575214053eed6dddba99ae687f6b0e18","observation_id":"6109ecd9-7d05-40f6-9741-439d3d38ff51","resolution":{"observed_at":"2026-08-06T14:16:27.492436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:27.234129Z","title":"Evaluating quantized large language models, 2024","venue":null,"work_id":"40f5c2ac-fa18-4977-aadf-74c97d0903f3","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.383909Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:7d81fcce204b4b3bfc7f5f87c0903870d8f30f422982e3303fef4055003211db","observation_id":"f1f370ae-83e6-4138-b659-8160452412ce","resolution":{"observed_at":"2026-08-06T14:16:27.322702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:14.463395Z","title":"Gonzalez, Hao Zhang, and Ion Stoica","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.463395Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:a5a6723b44993412b2756f4b12647fa34624f2f326db20dbf5beee926289304f","observation_id":"22d07436-4f44-400b-b187-77bbef30a0e6","resolution":{"observed_at":"2026-08-06T14:16:14.463395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.04473","last_updated":"2021-08-23T19:41:13Z","snapshot_observed_at":"2026-08-08T01:15:17.906950Z","submitted_at":"2021-04-09T16:43:11Z","title":"Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.04473","snapshot_observed_at":"2026-08-06T14:16:14.564374Z","title":"Efficient large-scale language model training on GPU clusters","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.564374Z"},"links":{"cited_paper":"/paper/2104.04473","citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:d3741709a18597632ba9c2e718cfd61204f2133eeb3ae4024a7589d1296648b8","observation_id":"434e3dfa-8e73-4bda-9894-afc73a21f4fb","resolution":{"observed_at":"2026-08-06T14:16:14.564374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:27.076135Z","title":"Siegel, Nitya Nadgir, and Arvind Narayanan","venue":null,"work_id":"d1a1327b-b5ce-4158-9894-a176b22d0a00","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.707238Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:9a9d2f856f947cd3ff7da8a7f232b011a15b0ad48cfc38e4b1a45ba1e1a8adb3","observation_id":"00453cd7-f450-433f-ab6a-7d444ad0e50d","resolution":{"observed_at":"2026-08-06T14:16:27.153625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.952157Z","title":"Russell and P","venue":null,"work_id":"de49bbed-f4a8-45b8-9771-63cb37ab73c2","year":1995},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.779341Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:17d4bf8f92f99878cea5344674566031e6ef5225e72fca7a8153a8c7af0bf006","observation_id":"1503a63b-8b76-4157-91ed-01ae2707ca77","resolution":{"observed_at":"2026-08-06T14:16:27.013601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.739897Z","title":"Multi-agent architectures in LangGraph","venue":null,"work_id":"83ebe742-a52e-4357-8a70-ee16bd428133","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.877696Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:bd86c867ccfae4008445061d6746569adb926d1af625b2c49c93d02213250b5c","observation_id":"c48ad096-557f-499d-a43e-aa240a0919e2","resolution":{"observed_at":"2026-08-06T14:16:26.862386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.610180Z","title":"LLaMA: Open and efficient foundation language models, 2023","venue":null,"work_id":"735c9e06-cb06-44d8-8d89-4d6734b4af53","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:14.955649Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:00aa2bda0b85039ed90ae8b3cc42b816b30bb88e5dff12acb4c4396fc81ae009","observation_id":"46dc6d09-c300-49da-b300-d586501db040","resolution":{"observed_at":"2026-08-06T14:16:26.691172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.500294Z","title":"Improving language understanding by generative pre-training","venue":null,"work_id":"fd7a0898-7d58-479c-a133-b8635d02f132","year":2018},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.035726Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:7a8e0acb2d413717454f4414f09a8644020d6f42c7bddd5cac9146b423d32fa4","observation_id":"9b342d13-308a-4d2f-b215-e02148d44152","resolution":{"observed_at":"2026-08-06T14:16:26.543912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.349913Z","title":"BERT: Pre-training of deep bidirectional transformers for language understanding, 2019","venue":null,"work_id":"40d4ad18-a205-43e6-a928-300159277630","year":2019},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.111213Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:b505aea28374e032e3dca313b9eb07cfa3a0926d2dc16b5e0b9fa45be6d37364","observation_id":"a0454073-0819-4574-b880-86cac758467f","resolution":{"observed_at":"2026-08-06T14:16:26.395592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.179593Z","title":"NVIDIA Blackwell Datasheet","venue":null,"work_id":"132a201f-7cdd-45c1-ae0a-4748fa3ee523","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.177263Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:ede0304354f3a8d9de336680b334cced99fbea4f18c8ae0223dfb2df43b35fd3","observation_id":"167f6e44-1083-46ff-96a1-5a7df3fbab7b","resolution":{"observed_at":"2026-08-06T14:16:26.234245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:26.075910Z","title":"NVLink & NVSwitch: Fastest HPC Data Center Platform","venue":null,"work_id":"531afea9-ee31-4974-a4ab-cd2d821236d4","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.247834Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:5c680e152a292a4a9fbf24af5cfec7acc14e9f67df42bbc3d1994c1044acde3c","observation_id":"33dc0bcb-d975-4adc-9cce-e77779dc8fa6","resolution":{"observed_at":"2026-08-06T14:16:26.125914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.947240Z","title":"NVIDIA InfiniBand (Ethernet & InfiniBand Networking Products)","venue":null,"work_id":"c7b6b1a1-8dc6-49cc-92b2-b7a68014493f","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.326603Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:56ee3a1c3059ed558c60ec152917041fc7d852d1315a765180df830777248afd","observation_id":"3b0cdc0d-ec61-4875-96fb-4d6de656842c","resolution":{"observed_at":"2026-08-06T14:16:25.996127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.799605Z","title":"NVIDIA 800V HVDC Architecture Will Power the Next Generation of AI Factories","venue":null,"work_id":"519a5471-9f53-4e6b-8469-0532a06d5a3b","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.388563Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:0a41d8b42ede2ea968ddca6cdceb9bcefa64f140fa5e6289e3277918e313e20a","observation_id":"19b29d08-4cf6-44d6-9be4-66ce111f4a58","resolution":{"observed_at":"2026-08-06T14:16:25.889736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.638263Z","title":"NVIDIA A40 datasheet","venue":null,"work_id":"50a6a245-ab02-40e1-9dc8-06022c7bd386","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.431040Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:93410111ee7dc17d175496f080bc1e14944abade20a4529b11b4eecc115b39a7","observation_id":"df4fc2ec-1961-4bfd-8f04-08f6a6a8d917","resolution":{"observed_at":"2026-08-06T14:16:25.726608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.516331Z","title":"NVIDIA A100 datasheet","venue":null,"work_id":"af692620-b2e2-44c3-803d-b846c6bdd7bb","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.494071Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:c9d15c99eeae2f2130d2cfd49df9883a5536352b799d09546f0dc4147fff6b3e","observation_id":"527a53ed-1127-4a48-b993-09f598374f7c","resolution":{"observed_at":"2026-08-06T14:16:25.574968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.395620Z","title":"NVIDIA H100 datasheet","venue":null,"work_id":"6ea9d258-38c2-4bbf-abaa-b6b34cb93b50","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.546056Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:49c292ae4a1dcd9dd95457632c2a25f56172b78f79deaaf717e81ed740fcdb6c","observation_id":"413167ad-ffdf-462d-a1d1-ecd450e36496","resolution":{"observed_at":"2026-08-06T14:16:25.423852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.268346Z","title":"NVIDIA B200 datasheet","venue":null,"work_id":"67a68c4a-8b0f-4eef-a1a5-e5e873f35d97","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.605690Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:99a6d556d6a994a0e9e4186c821ef4c371bab3e6640cbfb2b822a013111d2701","observation_id":"d7c88e69-e581-42ea-8abd-84b8b13a4d01","resolution":{"observed_at":"2026-08-06T14:16:25.349243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:25.030268Z","title":"Intel Gaudi 3 AI accelerator white paper","venue":null,"work_id":"5d01b127-6e58-4a4d-9f25-7d43bd88cb86","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.665260Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:05b6d8b63b4e27efc3c57c83194aaf8f786792a7d07a0665cf228a4db0f14b13","observation_id":"8972cedb-258f-4363-96c5-072cce83a48f","resolution":{"observed_at":"2026-08-06T14:16:25.156165Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:24.790068Z","title":"https://www.amd.com/content/dam/amd/en/documents/instinc t-tech-docs/data-sheets/amd-instinct-mi300x-data-sheet.pdf","venue":null,"work_id":"47946d89-8d0f-48d6-8b36-7361015a38d6","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.772471Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:16e3dcacd83d7be20b435ba06f1050e74aafc4813735e90d82051139706958a6","observation_id":"d3a5f2a2-65d3-4c26-b229-293420a0466b","resolution":{"observed_at":"2026-08-06T14:16:24.876594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:24.540338Z","title":"https://resources.nvidia.com/en-us-briefcase-for-datashe ets/proviz-print-rtx6000-1","venue":null,"work_id":"681c3159-277b-4f21-90b6-74ecfe3b9e84","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.848338Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:60a643423e2b1a2e5a7ae64183a369286bff6e2da5560caa935552fd6fac1c6b","observation_id":"73b1d07e-8481-46ff-b597-290694e9bc4d","resolution":{"observed_at":"2026-08-06T14:16:24.666640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:24.267660Z","title":"MLIR: Scaling compiler infrastructure for domain specific computation","venue":null,"work_id":"b6d5d600-50e2-475d-bbc5-e34ef5d1b649","year":2021},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:15.956891Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:7b637b41cc033fe179abf0ddc3a1946f867da5008fb19249ab75456888c741f8","observation_id":"b1dde963-3c4c-422d-ad8a-b6d9b97c0e1c","resolution":{"observed_at":"2026-08-06T14:16:24.402777Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:24.058481Z","title":"LLVM: A Compilation Framework for Lifelong Program Analysis and Transformation","venue":null,"work_id":"5cb5559e-68a8-4573-9957-371c8e45df18","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.026469Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:5643087a9173046d21c1698df0e9b8f808a0af653ab0386df5919aa8346ab5a4","observation_id":"95ee57aa-95e3-476b-924f-94848dcfd21a","resolution":{"observed_at":"2026-08-06T14:16:24.155667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:23.827112Z","title":"TensorRT","venue":null,"work_id":"fa2d9d50-9570-41a1-a628-0e51ff8001a4","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.094032Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:5a5c3b05172b6bdee153c33747a683405378a9c1da4cb0e0249029253b85835a","observation_id":"0d0ac64e-63c6-4272-af66-e3a0079338bc","resolution":{"observed_at":"2026-08-06T14:16:23.914696Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:23.620962Z","title":"XLA: Optimizing compiler for machine learning","venue":null,"work_id":"4b1dfb28-b740-4c8e-b0be-28af31ed98d2","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.168309Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:acdcd11090be1411f5f5c8462ffbe19a9c25a471c666e97ab128032e4810d3f2","observation_id":"b5416e89-e05d-4c50-bb96-cebc642f8d31","resolution":{"observed_at":"2026-08-06T14:16:23.719004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:23.266596Z","title":"Apache TVM: An open deep learning compiler stack","venue":null,"work_id":"a1b6a7ac-ac0d-4d04-8432-94a7192807e2","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.346777Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:2f0f875d45e3f158f0666e244116c4718acaf9a04cca776202f255e20a214c2c","observation_id":"a5d1c398-0de0-48d9-a290-b78fe6ebde0b","resolution":{"observed_at":"2026-08-06T14:16:23.317652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:23.156518Z","title":"IREE: Intermediate representation execution environment","venue":null,"work_id":"3dc5aa36-0904-47cd-a837-ae15443dff90","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.453034Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:1ea00b706d2fb7950b24a72532705e2b9bfb6ff377e36fcfe0c87b0dcd1a63e7","observation_id":"a7466cba-0a58-4d15-873e-35587d8639de","resolution":{"observed_at":"2026-08-06T14:16:23.181040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:23.011437Z","title":"Glow: Graph lowering neural network compiler.https://github.com/pytorch/glow,","venue":null,"work_id":"b7772b75-5a2b-44de-9a41-69e6fa3f677e","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.546353Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:5e1c1e9ceba9135918565431bb7e383044e551ec41ecb3a8144841ca896eaa8a","observation_id":"be283aa7-57c2-401c-afd7-bf6ef2e709e8","resolution":{"observed_at":"2026-08-06T14:16:23.086589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:16.719660Z","title":"Roofline: an insightful visual performance model for multicore architectures","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.719660Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:b14f728731026de93d922948d800d70f747150cafcb8989bf7782925ccf1f790","observation_id":"6d2eb1f3-dce6-433b-b5f4-08e47a008f88","resolution":{"observed_at":"2026-08-06T14:16:16.719660Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:22.899447Z","title":null,"venue":null,"work_id":"b35bdc28-67c8-42f2-82c5-16b8d766adc7","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.644530Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:dc33effa79466967e73513755719eee8b8bb8d75f4dc09d2af58ac7687cc9038","observation_id":"e54e2de4-bc9a-4d98-9824-90393d709361","resolution":{"observed_at":"2026-08-06T14:16:22.950563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:22.740090Z","title":"RoCE Initiative","venue":null,"work_id":"99f27a10-ed0b-4196-907d-b9fdf7836a71","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.889255Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:3ab65964d30cf22425f8e77f9d7478f95ef6240f52d58f08444df8c14681fbc8","observation_id":"9a3c5c4d-f044-44c7-9dc9-1024aa64e113","resolution":{"observed_at":"2026-08-06T14:16:22.817287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T14:16:16.794916Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.794916Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:74a2f5fddeaefd75454848e5f3bef1838dcbcf06874ed5024375c57e143bbe0c","observation_id":"912bfff3-7679-41c0-84cc-d9be8a458787","resolution":{"observed_at":"2026-08-06T14:16:16.794916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.05508","last_updated":"2025-06-05T18:47:49Z","snapshot_observed_at":"2026-08-07T13:07:21.433278Z","submitted_at":"2025-06-05T18:47:49Z","title":"Beyond the Buzz: A Pragmatic Take on Inference Disaggregation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.05508","snapshot_observed_at":"2026-08-06T14:16:17.189404Z","title":"Beyond the buzz: A pragmatic take on inference disaggregation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.189404Z"},"links":{"cited_paper":"/paper/2506.05508","citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:347d092da5e956a9db32c198cf3de7bbd4d0ea2a2d80bc49fe3a6178b54b6781","observation_id":"90c6b029-0dc8-45e1-af78-ff15007eee21","resolution":{"observed_at":"2026-08-06T14:16:17.189404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:17.240902Z","title":"Zhang, Hanwei Xu, Hao Yang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.240902Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:c6082ef5b2ebcf91aa74fa1a5713998160dfa0d29f855d92c083a1461a4e9d1a","observation_id":"f61038a2-301d-41a0-ae5f-8ce4dbfe5ac2","resolution":{"observed_at":"2026-08-06T14:16:17.240902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:22.314847Z","title":"Rdma over ethernet for distributed training at meta scale","venue":null,"work_id":"708fe812-f0f9-43e0-9a9b-1066dbe1adbd","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.081989Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:498ea36f8f246defd2785d1b0000638bb94cbf6d38d0a49d07c3ae6762297370","observation_id":"201943a3-cd55-45a8-a4a4-f73d3e1f83f6","resolution":{"observed_at":"2026-08-06T14:16:22.406728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:21.969272Z","title":"SGLang: Serving LLMs with programmatic prompts and high throughput","venue":null,"work_id":"e71f1e6e-aefe-4c52-a18f-26f0e233dabb","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.545318Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:2521bcef1d6884b8a41412fc761f62aeeb709ac7bfb74faa226a67d29066558e","observation_id":"aa372fe8-cb2a-4b24-8c94-86130ca1689a","resolution":{"observed_at":"2026-08-06T14:16:22.021880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:17.767790Z","title":"Splitwise: Efficient generative llm inference using phase splitting","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.767790Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:10eb4a5d65edfd0ec178040ff8d200ac43760579bca53b9e6d3e9f0953bda2c2","observation_id":"eaf2fb4f-ca0c-41af-8d41-fe5943fa6f5e","resolution":{"observed_at":"2026-08-06T14:16:17.767790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:22.129045Z","title":"TensorRT-LLM","venue":null,"work_id":"947e05e2-3235-4013-b739-43cb1fba4cc3","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.334431Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:6cc72e819e6dfcf9c557e525438ef14fed5c0fa9b146012e9722d8ee22aabbb4","observation_id":"f506c45a-6a9b-445e-a668-424a5d2eabf0","resolution":{"observed_at":"2026-08-06T14:16:22.202836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:21.611631Z","title":"llm-d: A kubernetes-native high-performance distributed LLM inference framework","venue":null,"work_id":"39e33f1b-f506-4c30-a8bd-55ce192e6de6","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.007130Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:0d93b237a590b4d4f9ba9641b09cd4a7336d0238267a1091cccf475d17bc3a4b","observation_id":"845a0bee-f61e-45b4-9f2a-30e91e225b70","resolution":{"observed_at":"2026-08-06T14:16:21.688160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:21.423792Z","title":"IREE: Intermediate representation execution environment","venue":null,"work_id":"6b8ac28d-ac41-48c6-96c9-a7671c84d09d","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.174599Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:8911e2d37b323b662403612cb8e0fd696ad604b32e47ab1d42096a02c1ddf071","observation_id":"dfd7b964-f6f6-4c9a-8460-dfcd10002a87","resolution":{"observed_at":"2026-08-06T14:16:21.466942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:21.809221Z","title":"Dynamo: A datacenter -scale distributed inference serving framework","venue":null,"work_id":"1628efaf-784f-44d1-ac0b-6a915bcb1be5","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:17.874990Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:e7942c42e99cf355ac99c8f3bd36444ec03ae79d623998fc6a089f7e96bdc45a","observation_id":"a97937fa-efbc-433f-9d7e-813d7cfd07b3","resolution":{"observed_at":"2026-08-06T14:16:21.895981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:20.524340Z","title":"Triton: An intermediate language and compiler for tiled neural network computations","venue":null,"work_id":"d34b0fc0-8243-478e-bb33-30dafb8ce3b0","year":2022},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.532762Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:2bd97ccab232ffe0ac98433a12982ca936dfc46a261a8f192d7c6a7eca6bbe17","observation_id":"2fafeb46-f85a-4317-a623-0d10a6eabd47","resolution":{"observed_at":"2026-08-06T14:16:20.589734Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:20.297190Z","title":"CrewAI: Orchestrate role-playing AI agents with memory and tools","venue":null,"work_id":"e5e05438-03e9-4db3-b767-346c82f9eb39","year":2024},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.666062Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:b64f9e1daad7ddb29496fbb395fc7af914e3853cc6a0d5269d1d4614967eda10","observation_id":"8a4d430f-8906-4f6a-ba21-1806e156c9bd","resolution":{"observed_at":"2026-08-06T14:16:20.414616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:19.960112Z","title":"AutoGen: Enabling next-gen LLM applications via multi-agent conversations","venue":null,"work_id":"061365d3-317c-47fc-ad66-a9e51f5f44c5","year":2023},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.768400Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:1db7c01d173c787fb79bfbcc452d1cf62753c5ea3f212bddf7180983990d5967","observation_id":"15352db7-f4d2-4adf-94e8-28301ab55190","resolution":{"observed_at":"2026-08-06T14:16:20.132914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:20.721544Z","title":"MHLO: MLIR HLO dialect for tensorflow and JAX","venue":null,"work_id":"c99f32a3-b50e-4a25-830e-f44cf96740f0","year":2021},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.448738Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:bde5bf1f9d8a79b69ec965964113e8e8abc4e13cd28114148f73745f17e30f5e","observation_id":"d599773e-1e08-4b94-8437-936ff3272d30","resolution":{"observed_at":"2026-08-06T14:16:20.870365Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:19.475031Z","title":"Distributed scheduling and optimization in datacenters","venue":null,"work_id":"7a2bf0f6-8e6a-413e-b7c8-14e693b9dea8","year":2018},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:19.006699Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:f23de172d9b012f2d6b32c67dd5ce85610a6d873e7d5bafa4e3c65955d583fe1","observation_id":"86f396c9-d0f5-4ae0-a371-fab84e38fc6e","resolution":{"observed_at":"2026-08-06T14:16:19.565834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:19.286630Z","title":"Minions: Cost-efficient collaboration between on-device and cloud language models, 2025","venue":null,"work_id":"9f510938-ebf1-436a-afd3-edeb9328710c","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:19.103974Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:e468f29fb274f79664a1b91bb919d3a51fddd14763d3ac36e0c82faf6f3e2b6e","observation_id":"9da52701-40d8-447c-be2f-5a1b2adaf729","resolution":{"observed_at":"2026-08-06T14:16:19.377172Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:19.684947Z","title":"The tail at scale","venue":null,"work_id":"8b00dd04-a14e-4cb1-ac32-ee180e661c47","year":2013},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.886461Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:497ff55dd1bad6e729a9f4234a6c2c8711aff844551020cad1f310fd7b9cf59a","observation_id":"6eb66dad-9fd0-43dc-9245-3e623ba2b9e7","resolution":{"observed_at":"2026-08-06T14:16:19.771939Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:21.140471Z","title":null,"venue":null,"work_id":"83a6512a-7a82-4af7-83c8-252d63596ad1","year":2025},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:18.308788Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:b9a5ef26322122da636a83b503fc5fdce94cf26e83a14e21dd6faaffa4d8a987","observation_id":"5ba1caaf-7d33-4ebf-a97b-19e2df219a26","resolution":{"observed_at":"2026-08-06T14:16:21.290195Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:23.401150Z","title":null,"venue":null,"work_id":"ea7ea764-df7a-4ce3-834d-67061391bcdb","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.271518Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:3a94b68b5f0f45c8b13b31913c4754724deac34bd2c33504d8671b2a7f069104","observation_id":"2cdb0ae6-0f93-4d6c-a207-37f8e8c0f7af","resolution":{"observed_at":"2026-08-06T14:16:23.462792Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:16:22.525813Z","title":null,"venue":null,"work_id":"7ca8a6b3-3afb-4d08-a5d9-8e99af185433","year":null},"citing_paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T14:16:16.959775Z"},"links":{"citing_paper":"/paper/2507.19635"},"observation_digest":"sha256:1972734b85bb86346c11c1fe4618ae4fbd21bc89c861dbe23efcf5295e9e34e8","observation_id":"eb8c65bc-fee4-409b-bd06-1aa9579680a9","resolution":{"observed_at":"2026-08-06T14:16:22.624748Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.19635","last_updated":"2025-07-25T19:02:42Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T07:23:03.744752Z","submitted_at":"2025-07-25T19:02:42Z","title":"Efficient and Scalable Agentic AI with Heterogeneous Systems"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":10,"verified_exact":0,"verified_fuzzy":49},"total_outbound_references":60},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 10 inbound Pith citation observations for arXiv:2507.19635."}