{"as_of":"2026-08-07T05:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d3d6bcd15294c5e8a773f1d34879ff3c50cf023b7b961768efb175311c24d610","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":22,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:57:09.018890Z","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":17,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2411.18279","last_updated":"2025-05-06T15:08:00Z","snapshot_observed_at":"2026-07-06T19:57:55.925634Z","submitted_at":"2024-11-27T12:13:39Z","title":"Large Language Model-Brained GUI Agents: A Survey","version":12},"reference_index":186,"source":"pdf_text","source_observed_at":"2026-05-19T11:08:27.472508Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2411.18279"},"observation_digest":"sha256:8d4d195b873e6ee516765a52d2e6657d5f1895b5510af242114f7d13f32f7f52","observation_id":"21bd3e7b-4ec1-4c91-bcd3-cf3af64683c8","resolution":{"observed_at":"2026-05-19T11:08:27.712589Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2503.08223","last_updated":"2026-04-09T15:28:27Z","snapshot_observed_at":"2026-07-06T20:50:33.513259Z","submitted_at":"2025-03-11T09:41:29Z","title":"Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-23T01:03:26.037233Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2503.08223"},"observation_digest":"sha256:c6e8e74b0b957f45e9e6a502708e6fbb5779d3bc49e5f69790c15bf123cff63f","observation_id":"a3008e07-0a3c-4090-bb95-9321f52ad1f8","resolution":{"observed_at":"2026-05-23T01:05:16.135665Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2506.02153","last_updated":"2025-09-15T22:15:00Z","snapshot_observed_at":"2026-08-05T18:56:11.132981Z","submitted_at":"2025-06-02T18:35:16Z","title":"Small Language Models are the Future of Agentic AI","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-16T11:55:50.897500Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2506.02153"},"observation_digest":"sha256:e7cd3c22d9e7e40d0db99bcfde583043ba5b1665f1aefb7ebcc34d155839efdb","observation_id":"580b6fe5-e04a-4221-bf34-ddc6e1b4edaf","resolution":{"observed_at":"2026-05-16T11:55:51.034841Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-07T04:57:09.018890Z","title":"Once upon a time, there was a little rabbit who lived in","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.09342","last_updated":"2025-06-16T02:57:37Z","snapshot_observed_at":"2026-08-07T04:48:14.349830Z","submitted_at":"2025-06-11T02:48:16Z","title":"Latent Multi-Head Attention for Small Language Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:57:09.018890Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2506.09342"},"observation_digest":"sha256:46a5bdcc527bc43bfea441d9dfa0680f5e1729a9b2370d375f01eae016a457e3","observation_id":"5f0bd346-aeb7-4718-bfc5-642f61a4a52c","resolution":{"observed_at":"2026-08-07T04:57:09.018890Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-06T22:45:03.646532Z","title":", Zhang, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00054","last_updated":"2025-06-25T20:07:47Z","snapshot_observed_at":"2026-08-06T22:38:57.552207Z","submitted_at":"2025-06-25T20:07:47Z","title":"Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T22:45:03.646532Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2507.00054"},"observation_digest":"sha256:9bb5fcf953b5f71a5bea45c8e9e44f5e6c88a69c49eb281a4576f45149ea848e","observation_id":"5fc159c6-a4f4-462a-8797-6b4e79b3f834","resolution":{"observed_at":"2026-08-06T22:45:03.646532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-06T18:51:26.988505Z","title":"A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07375","last_updated":"2025-07-10T01:56:56Z","snapshot_observed_at":"2026-08-06T18:40:15.446120Z","submitted_at":"2025-07-10T01:56:56Z","title":"Bradley-Terry and Multi-Objective Reward Modeling Are Complementary","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:51:26.988505Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2507.07375"},"observation_digest":"sha256:0afd11a0d6a9920551cacec8ff487b72a11df09d709dc463d0c4abc05819cec7","observation_id":"30c80e4a-ccfe-41b7-ab00-f763bfd2ca55","resolution":{"observed_at":"2026-08-06T18:51:26.988505Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-06T10:32:40.842264Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.23674","last_updated":"2025-09-10T17:59:08Z","snapshot_observed_at":"2026-08-06T10:41:10.135815Z","submitted_at":"2025-07-31T15:50:57Z","title":"TweakLLM: A Routing Architecture for Dynamic Tailoring of Cached Responses","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T10:32:40.842264Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2507.23674"},"observation_digest":"sha256:29b2ea631a196af26bdb414ea5bfc761c9c4c00ccaeaeecb3df36327b5269a5a","observation_id":"58b96656-de3d-45ea-bca6-533d3367b13c","resolution":{"observed_at":"2026-08-06T10:32:40.842264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-06T05:51:39.974567Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01261","last_updated":"2025-08-02T08:33:30Z","snapshot_observed_at":"2026-08-06T05:51:39.429083Z","submitted_at":"2025-08-02T08:33:30Z","title":"Unifying Mixture of Experts and Multi-Head Latent Attention for Efficient Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T05:51:39.974567Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2508.01261"},"observation_digest":"sha256:5ee5348b1eb5c913e9be3b298cb5d824871fd4015fa4606ff9771eab964835ba","observation_id":"55ab1f11-415e-48c9-b4f1-643748c2ce20","resolution":{"observed_at":"2026-08-06T05:51:39.974567Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T15:21:32.640611Z","title":"A survey of small language models in the era of LLMs: Techniques, enhancements, applications, collabora- tion with LLMs, and trustworthiness","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.20186","last_updated":"2025-08-27T18:04:45Z","snapshot_observed_at":"2026-08-05T15:21:31.775746Z","submitted_at":"2025-08-27T18:04:45Z","title":"AI Propaganda factories with language models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T15:21:32.640611Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2508.20186"},"observation_digest":"sha256:e4384046813a3e76b49ceabd7acde37d31f889a4a0315c533870b90a6677cb18","observation_id":"d9f2f777-4479-4f43-8264-26c864e409c7","resolution":{"observed_at":"2026-08-05T15:21:32.640611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T11:10:01.491388Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04518","last_updated":"2025-09-08T19:46:21Z","snapshot_observed_at":"2026-08-06T23:46:53.458717Z","submitted_at":"2025-09-03T07:41:14Z","title":"Advancing SLM Tool-Use Capability using Reinforcement Learning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:10:01.491388Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2509.04518"},"observation_digest":"sha256:bb702386cbc9029617432c141930729c87b68270aa7ef37cfd5b3164ae60163e","observation_id":"d8591ed5-cdcf-4658-9f78-2a8da7684f8a","resolution":{"observed_at":"2026-08-05T11:10:01.491388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T04:50:32.434461Z","title":"A comprehensive survey of small language models in the era of large language models: Techniques, en- hancements, applications, collaboration with llms, and trustworthiness,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.05946","last_updated":"2025-09-07T06:46:03Z","snapshot_observed_at":"2026-08-05T14:52:11.492382Z","submitted_at":"2025-09-07T06:46:03Z","title":"Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial","version":1},"reference_index":243,"source":"pdf_text","source_observed_at":"2026-08-05T04:50:32.434461Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2509.05946"},"observation_digest":"sha256:67251c2ec1aa37f95365e8cf44facb87da9ae212abc5da264ab278b1a3082d44","observation_id":"323f0912-bb5f-4454-b7ae-7d7337b098e0","resolution":{"observed_at":"2026-08-05T04:50:32.434461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2509.06477","last_updated":"2026-04-15T11:26:55Z","snapshot_observed_at":"2026-07-06T22:25:43.838468Z","submitted_at":"2025-09-08T09:43:48Z","title":"MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-05-18T18:42:29.744124Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2509.06477"},"observation_digest":"sha256:19c2efa667f7ced3cd4fbb46a41e7a5516f3f4efeacba13950e0070ce90dce8d","observation_id":"f86427bb-187d-4344-9af3-957b79b33ae1","resolution":{"observed_at":"2026-05-18T18:42:48.164971Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-04T22:30:12.162721Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.07324","last_updated":"2025-09-09T01:43:48Z","snapshot_observed_at":"2026-08-06T16:39:00.860220Z","submitted_at":"2025-09-09T01:43:48Z","title":"Mitigating Attention Localization in Small Scale: Self-Attention Refinement via One-step Belief Propagation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-04T22:30:12.162721Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2509.07324"},"observation_digest":"sha256:29451ba48d69b118a300acb1e0964c945e27ed20af7aed91504698ecda223273","observation_id":"d9b1f5f0-7467-46eb-9432-acd14e36dde9","resolution":{"observed_at":"2026-08-04T22:30:12.162721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-04T20:21:21.834038Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.08682","last_updated":"2025-09-10T15:22:00Z","snapshot_observed_at":"2026-08-04T20:21:21.285877Z","submitted_at":"2025-09-10T15:22:00Z","title":"Automatic Failure Attribution and Critical Step Prediction Method for Multi-Agent Systems Based on Causal Inference","version":1},"reference_index":2836,"source":"pdf_text","source_observed_at":"2026-08-04T20:21:21.834038Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2509.08682"},"observation_digest":"sha256:347449ea72b8c5390fac29702d177d124cf60a0b1787a01d8f3c62719dbeadb7","observation_id":"1f2962c7-ab84-4b05-b9ed-d2241fc44d40","resolution":{"observed_at":"2026-08-04T20:21:21.834038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2604.27143","last_updated":"2026-04-29T19:54:27Z","snapshot_observed_at":"2026-08-06T02:38:48.975712Z","submitted_at":"2026-04-29T19:54:27Z","title":"Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-07T09:47:52.767727Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2604.27143"},"observation_digest":"sha256:055bcb81ba33b1c42f62179a5151fee5b2d4541240338dbd57792831e3957798","observation_id":"6d9d1d40-e9cd-486e-80f7-a774f0c708f5","resolution":{"observed_at":"2026-05-09T04:15:09.581136Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2605.18455","last_updated":"2026-05-18T14:20:21Z","snapshot_observed_at":"2026-08-06T20:59:19.089554Z","submitted_at":"2026-05-18T14:20:21Z","title":"OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-20T08:37:44.181899Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2605.18455"},"observation_digest":"sha256:a498fb0518c214ea9f1c22da089d538c25073a06fc67b53c59f0bdd9f79cf346","observation_id":"061472c3-4fa2-4650-81ba-e98224fbdf8b","resolution":{"observed_at":"2026-05-20T08:38:10.272618Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2606.18190","last_updated":"2026-06-16T17:21:58Z","snapshot_observed_at":"2026-08-06T04:11:35.121407Z","submitted_at":"2026-06-16T17:21:58Z","title":"Multi-Source Cybersecurity Logs: An ATT&CK-Labeled Dataset and SLM Evaluation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-26T23:56:34.841978Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2606.18190"},"observation_digest":"sha256:ef83b70f070ce2f453bf7da75d794344d50d205abd3470f09c492ebd2dff0ae9","observation_id":"695f8bb7-2a11-4feb-a40b-2668cb485adf","resolution":{"observed_at":"2026-07-03T21:58:59.108975Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":"2411.03350","doi":"10.48550/arxiv.2411.03350","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"A comprehensive survey of small language mod- els in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness","venue":"arXiv (Cornell University)","work_id":"a803a323-a63f-4f02-a480-340b3ea3fe73","year":2024},"citing_paper":{"arxiv_id":"2606.21428","last_updated":"2026-07-09T17:35:35Z","snapshot_observed_at":"2026-08-03T00:32:09.805300Z","submitted_at":"2026-06-19T13:45:45Z","title":"Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-26T12:30:55.628115Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2606.21428"},"observation_digest":"sha256:be843cdda7860d711bb534ae9430845ea61793b46522205fa4c79db1d87a5399","observation_id":"8516d15b-6f93-4a51-ac5e-26dafe50a3fc","resolution":{"observed_at":"2026-07-04T07:59:39.599016Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-07-12T13:05:17.273287Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.21428","last_updated":"2026-07-09T17:35:35Z","snapshot_observed_at":"2026-08-03T00:32:09.805300Z","submitted_at":"2026-06-19T13:45:45Z","title":"Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-12T13:05:17.273287Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2606.21428"},"observation_digest":"sha256:aaa391f526caa4c6c8e1187c8f62ec0a2839f6b6e4b1504961ebf57a3bbf0029","observation_id":"abdae12e-2d53-4692-8246-628615cbc9fc","resolution":{"observed_at":"2026-07-12T13:05:17.273287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-07-12T06:18:42.939955Z","title":"arXiv preprint arXiv:2411.03350 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.02897","last_updated":"2026-07-03T02:48:26Z","snapshot_observed_at":"2026-08-01T23:04:39.514631Z","submitted_at":"2026-07-03T02:48:26Z","title":"PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-07-12T06:18:42.939955Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2607.02897"},"observation_digest":"sha256:96b4399f9bcee2422f67ca816cc12fbbf1987031532ce68da0f88670b8d517bd","observation_id":"9cb2cf28-77c4-4d2c-a46b-093db0262b0f","resolution":{"observed_at":"2026-07-12T06:18:42.939955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-07-11T23:52:16.201593Z","title":"arXiv preprint arXiv:2411.03350 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03801","last_updated":"2026-07-04T10:09:32Z","snapshot_observed_at":"2026-08-03T13:55:39.615151Z","submitted_at":"2026-07-04T10:09:32Z","title":"Punching Above Their Weight: Classification-Head Fine-Tuning of Tiny Language Models (TLMs) for Verifiable Multiple-Choice Tasks","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-11T23:52:16.201593Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2607.03801"},"observation_digest":"sha256:6108417ad12f8051c226322584367001b176c2d237e63b848975d3a3d3e5bd57","observation_id":"6cbfb33f-8f8f-4e6e-a7b7-7f38a648ddb1","resolution":{"observed_at":"2026-07-11T23:52:16.201593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-06T23:25:10.306623Z","title":"A comprehensive survey of small language models in the era of large language models: Techniques, enhancements, applications, collaboration with llms, and trustworthiness,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04488","last_updated":"2026-08-05T06:20:57Z","snapshot_observed_at":"2026-08-07T05:21:56.346563Z","submitted_at":"2026-08-05T06:20:57Z","title":"Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:25:10.306623Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2608.04488"},"observation_digest":"sha256:ed77ab1edac3583bb4953d01d7b0a5b1565c4dac4d7a7cece6b471e343b23bf7","observation_id":"cdb6da5a-a3c2-4b90-9f2b-e93652809269","resolution":{"observed_at":"2026-08-06T23:25:10.306623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.03350/citation-record","integrity":"/paper/2411.03350/integrity","json":"/paper/2411.03350/citation-record.json","paper":"/paper/2411.03350"},"outbound":[],"paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T03:34:32.259687Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2411.03350."}