{"as_of":"2026-08-13T19:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:28e514353a25690906948e946443800d4319be98452cb2c711368734b4319923","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:30:06.796582Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-23T01:05:16.486332Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-08-11T11:30:06.796582Z","title":"Van Nguyen, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15441","last_updated":"2025-07-30T21:44:18Z","snapshot_observed_at":"2026-08-12T21:57:09.677528Z","submitted_at":"2024-12-19T22:44:02Z","title":"Insights into resource utilization of code small language models serving with runtime engines and execution providers","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T11:30:06.796582Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2412.15441"},"observation_digest":"sha256:c14c25b9180f560beaf3fe32d53735bc47d9533e4463023a3422ea4ab253a6b6","observation_id":"7a8d7bda-abb0-4fe3-938c-13b3c5022583","resolution":{"observed_at":"2026-08-11T11:30:06.796582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-08-11T05:06:49.397763Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.18116","last_updated":"2025-05-06T12:24:43Z","snapshot_observed_at":"2026-08-11T21:04:21.261229Z","submitted_at":"2024-12-24T02:54:56Z","title":"AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T05:06:49.397763Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2412.18116"},"observation_digest":"sha256:403e94005fc7211afbe5e1a2e87175ab9ce270d7848723b131a8ea8eb5b7ebf2","observation_id":"098a4931-58f1-4a09-9e04-0bb273386294","resolution":{"observed_at":"2026-08-11T05:06:49.397763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-08-10T16:40:09.380671Z","title":"Rawte, V ., Tonmoy, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.12975","last_updated":"2025-01-22T15:59:44Z","snapshot_observed_at":"2026-08-11T09:45:29.586926Z","submitted_at":"2025-01-22T15:59:44Z","title":"OnionEval: An Unified Evaluation of Fact-conflicting Hallucination for Small-Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T16:40:09.380671Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2501.12975"},"observation_digest":"sha256:8ac70fe519067b0ecd8fda04449f554c62c342cef15e941faa6b997be89b6973","observation_id":"7e709871-fc63-4101-b293-ecf2ec627b46","resolution":{"observed_at":"2026-08-10T16:40:09.380671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-08-07T23:18:29.440062Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08909","last_updated":"2025-02-13T02:51:17Z","snapshot_observed_at":"2026-08-09T16:09:37.650204Z","submitted_at":"2025-02-13T02:51:17Z","title":"Towards Automated Fact-Checking of Real-World Claims: Exploring Task Formulation and Assessment with LLMs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T23:18:29.440062Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2502.08909"},"observation_digest":"sha256:4a0b83454f6ce1ba442dd7d723c8ff385f09fbac350171b4a8a7e28b738489c7","observation_id":"04c97565-fd9e-4563-92fe-0808a8aa8e93","resolution":{"observed_at":"2026-08-07T23:18:29.440062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":"2410.20011","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey of small language models","venue":null,"work_id":"719e1bb0-601f-48a8-968c-8a9d85de7d36","year":2024},"citing_paper":{"arxiv_id":"2503.08223","last_updated":"2026-04-09T15:28:27Z","snapshot_observed_at":"2026-08-13T00:23:14.495568Z","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":59,"source":"pdf_text","source_observed_at":"2026-05-23T01:03:26.037233Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2503.08223"},"observation_digest":"sha256:9f4c1a5f389459b921baa4327474e2b37db15325f80ba414cfca0f7824b3b0cf","observation_id":"7c425754-3f15-41ed-8bc9-5ae62daaf1ac","resolution":{"observed_at":"2026-05-23T01:05:16.488678Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-08-06T16:37:43.350091Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.13035","last_updated":"2025-07-17T12:06:29Z","snapshot_observed_at":"2026-08-13T08:42:30.586638Z","submitted_at":"2025-07-17T12:06:29Z","title":"Investigating the Performance of Small Language Models in Detecting Test Smells in Manual Test Cases","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T16:37:43.350091Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2507.13035"},"observation_digest":"sha256:bffa6c504b83107d1b525b58f5e1c52be4dded663efe5e6056b24fc2737ad2c9","observation_id":"3c06c320-f698-4152-9c58-a9c8360f274d","resolution":{"observed_at":"2026-08-06T16:37:43.350091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":"2410.20011","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey of small language models","venue":null,"work_id":"719e1bb0-601f-48a8-968c-8a9d85de7d36","year":2024},"citing_paper":{"arxiv_id":"2508.15229","last_updated":"2026-04-18T14:51:42Z","snapshot_observed_at":"2026-08-13T11:29:55.990098Z","submitted_at":"2025-08-21T04:32:13Z","title":"VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T22:37:01.014698Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2508.15229"},"observation_digest":"sha256:95ecf4b5868fc00eb34f700bc10cd288c5c85581a9296a915c98c61ada31369f","observation_id":"221ed9a6-0505-426d-a249-62373d8dabeb","resolution":{"observed_at":"2026-05-18T22:41:54.044950Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-08-05T11:10:01.962412Z","title":"A Survey of Small Language Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.04518","last_updated":"2025-09-08T19:46:21Z","snapshot_observed_at":"2026-08-12T23:26:35.466255Z","submitted_at":"2025-09-03T07:41:14Z","title":"Advancing SLM Tool-Use Capability using Reinforcement Learning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:10:01.962412Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2509.04518"},"observation_digest":"sha256:afb4c254278ea291c7e6cb030bb337f8ce825b8e875ebb1162a3af8397324bc9","observation_id":"0d357488-fbff-48f6-8760-0e1d122f737d","resolution":{"observed_at":"2026-08-05T11:10:01.962412Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":"2410.20011","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey of small language models","venue":null,"work_id":"719e1bb0-601f-48a8-968c-8a9d85de7d36","year":2024},"citing_paper":{"arxiv_id":"2604.02367","last_updated":"2026-03-26T15:57:46Z","snapshot_observed_at":"2026-07-06T22:51:44.663367Z","submitted_at":"2026-03-26T15:57:46Z","title":"Evaluating Small Language Models for Front-Door Routing: A Harmonized Benchmark and Synthetic-Traffic Experiment","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-15T00:38:17.474611Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2604.02367"},"observation_digest":"sha256:64442a73e3b2ab3889fe5e55574c644e830d78d9d5068f678ecbaf9da5fdd182","observation_id":"7868d12e-5ed5-4531-b8ba-778ca326a531","resolution":{"observed_at":"2026-05-15T00:38:23.063642Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":"2410.20011","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A survey of small language models","venue":null,"work_id":"719e1bb0-601f-48a8-968c-8a9d85de7d36","year":2024},"citing_paper":{"arxiv_id":"2604.06833","last_updated":"2026-04-08T08:51:46Z","snapshot_observed_at":"2026-08-11T15:30:00.764841Z","submitted_at":"2026-04-08T08:51:46Z","title":"FedDetox: Robust Federated SLM Alignment via On-Device Data Sanitization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T17:22:40.613937Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2604.06833"},"observation_digest":"sha256:afab41d429600412a5cc6449bf1daccc5d52e461efb0147885c8642e02dd1a10","observation_id":"7c3d2b7d-75ca-4917-b393-032afa486604","resolution":{"observed_at":"2026-05-11T06:56:02.088696Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.20011","snapshot_observed_at":"2026-07-11T23:52:16.201593Z","title":"arXiv preprint arXiv:2410.20011 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03801","last_updated":"2026-07-04T10:09:32Z","snapshot_observed_at":"2026-08-09T12:02:46.280827Z","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":2,"source":"arxiv_source","source_observed_at":"2026-07-11T23:52:16.201593Z"},"links":{"cited_paper":"/paper/2410.20011","citing_paper":"/paper/2607.03801"},"observation_digest":"sha256:676c590da297302cf518c714321a057cf0ba0e081eee915a051196216fe4be98","observation_id":"bafb0c52-ad3c-4019-8a03-0995aa2f3a75","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"}}],"links":{"evidence":"/evidence","html":"/paper/2410.20011/citation-record","integrity":"/paper/2410.20011/integrity","json":"/paper/2410.20011/citation-record.json","paper":"/paper/2410.20011"},"outbound":[],"paper":{"arxiv_id":"2410.20011","last_updated":"2024-10-25T23:52:28Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T22:14:49.879436Z","submitted_at":"2024-10-25T23:52:28Z","title":"A Survey of Small Language Models"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.20011."}