{"as_of":"2026-08-10T09:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e6a91396fe3a77c2cb1f1013b41add8c2b08c4c74c22861401f7a916f6809a44","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:10:39.603710Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T16:21:58.076991Z","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":"2026-07-03T00:57:30.323247Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"cited_work":{"arxiv_id":"2506.08669","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08669","snapshot_observed_at":"2026-07-03T00:57:30.323247Z","title":"Enhancing reasoning capabilities of small language models with blueprints and prompt template search","venue":null,"work_id":"aec01acd-14bd-4d91-a657-4e38b1f58f27","year":2025},"citing_paper":{"arxiv_id":"2503.09567","last_updated":"2025-07-18T15:57:54Z","snapshot_observed_at":"2026-08-08T22:33:20.124926Z","submitted_at":"2025-03-12T17:35:03Z","title":"Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models","version":5},"reference_index":235,"source":"pdf_text","source_observed_at":"2026-05-12T08:40:40.910461Z"},"links":{"cited_paper":"/paper/2506.08669","citing_paper":"/paper/2503.09567"},"observation_digest":"sha256:e88bdc3b04039fd3069dfb9227643a3f2cf2ba9dece14bad090b0c7240c14d76","observation_id":"4b6429ff-78c4-4dad-b48d-be30648211ef","resolution":{"observed_at":"2026-05-12T08:40:41.453655Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"cited_work":{"arxiv_id":"2506.08669","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08669","snapshot_observed_at":"2026-07-03T00:57:30.323247Z","title":"Enhancing reasoning capabilities of small language models with blueprints and prompt template search","venue":null,"work_id":"aec01acd-14bd-4d91-a657-4e38b1f58f27","year":2025},"citing_paper":{"arxiv_id":"2606.09157","last_updated":"2026-06-08T07:47:57Z","snapshot_observed_at":"2026-08-10T04:14:13.801753Z","submitted_at":"2026-06-08T07:47:57Z","title":"SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-27T16:53:44.256573Z"},"links":{"cited_paper":"/paper/2506.08669","citing_paper":"/paper/2606.09157"},"observation_digest":"sha256:df74cb739ae1e654778aff3ce9832e4378658d2e0fb6429ec9b38ba077015144","observation_id":"c7b9731c-c43d-4fd1-a02d-add407ee5e21","resolution":{"observed_at":"2026-07-03T00:57:30.325259Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.08669","snapshot_observed_at":"2026-08-01T16:21:58.076991Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18034","last_updated":"2026-07-22T02:42:00Z","snapshot_observed_at":"2026-08-08T08:16:16.670909Z","submitted_at":"2026-07-20T15:01:41Z","title":"AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T16:21:58.076991Z"},"links":{"cited_paper":"/paper/2506.08669","citing_paper":"/paper/2607.18034"},"observation_digest":"sha256:f71cadc6059d26ac6d5e55a3e2702640cb57f7c9c45db8673c9aafed3764c887","observation_id":"4a7c5f08-f794-4fc0-9883-da6087dda01b","resolution":{"observed_at":"2026-08-01T16:21:58.076991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.08669/citation-record","integrity":"/paper/2506.08669/integrity","json":"/paper/2506.08669/citation-record.json","paper":"/paper/2506.08669"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-07-06T18:03:47.096406Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-07T05:10:39.466526Z","title":"A., Awan, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.466526Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:8ffd4080040965cbaf5e39a440e523b56643b67e860d25790337877b301ba6f4","observation_id":"894f92e8-80af-4f83-9d1e-d44eb04c560e","resolution":{"observed_at":"2026-08-07T05:10:39.466526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18369","last_updated":"2024-10-03T09:45:47Z","snapshot_observed_at":"2026-07-06T18:21:26.195207Z","submitted_at":"2024-05-28T17:08:31Z","title":"PromptWizard: Task-Aware Prompt Optimization Framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18369","snapshot_observed_at":"2026-08-07T05:10:39.471820Z","title":"Promptwizard: Task-aware agent-driven prompt optimization framework","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.471820Z"},"links":{"cited_paper":"/paper/2405.18369","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:f29240dd7805a01652a89acbe0454c8f7da4fc386812c8bdb092ebad3f74cabb","observation_id":"0ae34efb-0ceb-4a32-ac44-964a2b928fa9","resolution":{"observed_at":"2026-08-07T05:10:39.471820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07732","last_updated":"2021-08-16T03:57:30Z","snapshot_observed_at":"2026-08-02T19:23:53.535075Z","submitted_at":"2021-08-16T03:57:30Z","title":"Program Synthesis with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07732","snapshot_observed_at":"2026-08-07T05:10:39.476798Z","title":"Program synthesis with large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.476798Z"},"links":{"cited_paper":"/paper/2108.07732","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:73c383de403f673559d7687044e8f8e4bee3c7ff47864488879525e9a21ea560","observation_id":"acdfeb69-f606-44fa-8a29-a5a3b8ae8ad1","resolution":{"observed_at":"2026-08-07T05:10:39.476798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-07T05:10:39.483953Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.483953Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:5904465f040ac6b10d94e8f8c906338f913ca21e332e01a5d75f4aa0b15fd683","observation_id":"beeb8d2b-5791-41e2-9814-c42e0dbfced2","resolution":{"observed_at":"2026-08-07T05:10:39.483953Z","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":"2026-08-07T05:10:39.490703Z","title":"W., Sutton, C., Gehrmann, S., et al","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.490703Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:cfb5e95484708e8b1f17f142cf1220667f6212f10acc78de8383b3e6b77007e3","observation_id":"1c3491ff-d83b-4fa8-bedb-46ca7315fec1","resolution":{"observed_at":"2026-08-07T05:10:39.490703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-07T05:10:39.495670Z","title":"Training verifiers to solve math word problems","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.495670Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:b58d01015ae326301f7c46eeb08b46c8c9e3f1666961dc436e81e752eff794e9","observation_id":"966d0ff8-ebcc-4caa-8c36-68cd24de5fd1","resolution":{"observed_at":"2026-08-07T05:10:39.495670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12548","last_updated":"2022-10-22T15:21:46Z","snapshot_observed_at":"2026-08-04T09:47:52.854204Z","submitted_at":"2022-05-25T07:50:31Z","title":"RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.12548","snapshot_observed_at":"2026-08-07T05:10:39.500635Z","title":"P., and Hu, Z","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.500635Z"},"links":{"cited_paper":"/paper/2205.12548","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:9e1ae611b2a3874dcf266a9fa7c468f03ce400dacde2c53319f2bb6dea362644","observation_id":"1d8ed3ec-49bf-4b51-9ed1-26ae0b82aff0","resolution":{"observed_at":"2026-08-07T05:10:39.500635Z","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":"2026-08-07T05:10:39.857195Z","title":"M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A","venue":null,"work_id":"012fe716-202d-4122-a925-5ba640ba09b2","year":2022},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.505515Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:29a474bbc559f2a49d98e9131a2c75545659b13260b2db50571480b227571437","observation_id":"03471fb4-6d77-446f-84f9-d049ecde82ec","resolution":{"observed_at":"2026-08-07T05:10:39.861845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16797","last_updated":"2023-09-28T19:01:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-28T19:01:07Z","title":"Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16797","snapshot_observed_at":"2026-08-07T05:10:39.510387Z","title":"Promptbreeder: Self-referential self-improvement via prompt evolution","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.510387Z"},"links":{"cited_paper":"/paper/2309.16797","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:5fa7f1754eae167f34ba3d59a0d2c527b97053751ced536916a51805c1d9c319","observation_id":"552b034e-9c43-41e5-8efe-3ddb14102fad","resolution":{"observed_at":"2026-08-07T05:10:39.510387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-07T05:10:39.516361Z","title":"Q., Sablayrolles, A., Mensch, A., Bamford, C., Chaplot, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.516361Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:1b45824d704b24c4c812b93620311c992c03dabe341a5a05e26844e650c6601c","observation_id":"47993681-8a81-44c5-8701-f389aa263739","resolution":{"observed_at":"2026-08-07T05:10:39.516361Z","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":"2026-08-07T05:10:39.522382Z","title":"Crafting papers on machine learning","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.522382Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:7043a1de9615f4758572cad99d9e82f95e4b1fae02752c82abae68439d7c3b5e","observation_id":"44ffee66-f1b0-409a-86e9-9ca8aacdc904","resolution":{"observed_at":"2026-08-07T05:10:39.522382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08691","last_updated":"2021-09-02T17:34:41Z","snapshot_observed_at":"2026-08-06T15:24:34.790850Z","submitted_at":"2021-04-18T03:19:26Z","title":"The Power of Scale for Parameter-Efficient Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08691","snapshot_observed_at":"2026-08-07T05:10:39.527540Z","title":"The power of scale for parameter-efficient prompt tuning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.527540Z"},"links":{"cited_paper":"/paper/2104.08691","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:ff917d1bd9053afa17d3489a30df1dfad2209d9938584782619015fd46e0613b","observation_id":"47769cfe-a78e-4998-9b0f-55acd2329bae","resolution":{"observed_at":"2026-08-07T05:10:39.527540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.08291","last_updated":"2023-05-15T01:18:23Z","snapshot_observed_at":"2026-07-06T15:27:02.376191Z","submitted_at":"2023-05-15T01:18:23Z","title":"Large Language Model Guided Tree-of-Thought","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.08291","snapshot_observed_at":"2026-08-07T05:10:39.532162Z","title":"Large language model guided tree-of-thought","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.532162Z"},"links":{"cited_paper":"/paper/2305.08291","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:2f1f0f43e08ca45317dd53a902a43ca8c2e7fc80a8b05d3dedf13d6aa9819f9b","observation_id":"9d790766-19e5-4b81-a86f-18992f9ef9e3","resolution":{"observed_at":"2026-08-07T05:10:39.532162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02101","last_updated":"2024-02-03T09:48:54Z","snapshot_observed_at":"2026-08-07T12:57:38.177749Z","submitted_at":"2024-02-03T09:48:54Z","title":"Are Large Language Models Good Prompt Optimizers?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02101","snapshot_observed_at":"2026-08-07T05:10:39.537689Z","title":"Are large language models good prompt optimizers? arXiv preprint arXiv:2402.02101, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.537689Z"},"links":{"cited_paper":"/paper/2402.02101","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:ea12be5559e221828fa6dfc1eaea987f66dd3a962c228a5af882e82d21550091","observation_id":"17c71aa8-be3f-4bb1-8258-d9a466ab742b","resolution":{"observed_at":"2026-08-07T05:10:39.537689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08410","last_updated":"2023-06-01T12:17:01Z","snapshot_observed_at":"2026-08-09T07:44:02.172714Z","submitted_at":"2022-12-16T11:24:42Z","title":"Teaching Small Language Models to Reason","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08410","snapshot_observed_at":"2026-08-07T05:10:39.542301Z","title":"C., Mallinson, J., Adamek, J., Malmi, E., and Severyn, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.542301Z"},"links":{"cited_paper":"/paper/2212.08410","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:9cb4aa91dd14fcc358f382b8dc66e3abe2c26b496d802d38f91a5ef81ddf4e94","observation_id":"658038fb-0df3-4a0c-94ee-9ad55d451652","resolution":{"observed_at":"2026-08-07T05:10:39.542301Z","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":"2026-08-07T05:10:39.837225Z","title":"Hello gpt-4o","venue":null,"work_id":"44e396c6-cb6b-40bd-9b95-4268028da163","year":2024},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.547729Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:125c4091721ed0f253e39e965629f70623775bb70b25fc3f9434e710767344e4","observation_id":"35e8c7bf-09fa-4ae6-a036-9701248b87c8","resolution":{"observed_at":"2026-08-07T05:10:39.843326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-07T05:10:39.825236Z","title":"Gpt-4o mini: Advancing cost-efficient intelligence","venue":null,"work_id":"1ff7cc66-2e9b-47fd-81d0-d34f7e253175","year":2024},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.553899Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:d4b8e02fb9b765ef37ff199a0066270604f9196026a08607c7400ae75eb49bae","observation_id":"886ca0ed-fe3a-44ae-908d-97d1d24cf0e1","resolution":{"observed_at":"2026-08-07T05:10:39.829705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03495","last_updated":"2023-10-19T04:37:25Z","snapshot_observed_at":"2026-08-06T03:31:54.947656Z","submitted_at":"2023-05-04T15:15:22Z","title":"Automatic Prompt Optimization with \"Gradient Descent\" and Beam Search","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03495","snapshot_observed_at":"2026-08-07T05:10:39.559056Z","title":"gradient descent","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.559056Z"},"links":{"cited_paper":"/paper/2305.03495","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:9d0f2010b6ac2cd30fed44895544764043f4352b22e78388bd06af4777f9d17c","observation_id":"9817da71-1d6d-4c95-bca6-6f241c3dd680","resolution":{"observed_at":"2026-08-07T05:10:39.559056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.09261","last_updated":"2022-10-17T17:08:26Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-17T17:08:26Z","title":"Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.09261","snapshot_observed_at":"2026-08-07T05:10:39.563785Z","title":"W., Chowdhery, A., Le, Q","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.563785Z"},"links":{"cited_paper":"/paper/2210.09261","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:d9fa96d356d74a4c1b0104348ec322c09aa97426ba64d488c169b71b8a02a343","observation_id":"589d0635-5f6a-4ccb-92ca-8ba541e8616a","resolution":{"observed_at":"2026-08-07T05:10:39.563785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.03863","last_updated":"2024-05-23T06:08:37Z","snapshot_observed_at":"2026-08-02T01:09:26.116796Z","submitted_at":"2023-12-06T19:18:42Z","title":"Efficient Large Language Models: A Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.03863","snapshot_observed_at":"2026-08-07T05:10:39.570052Z","title":"Efficient large language models: A survey","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.570052Z"},"links":{"cited_paper":"/paper/2312.03863","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:6c47314fc6824511aa1c0e1074f0134cad1215462ff4e651c26f950363490adc","observation_id":"17a2411b-9c09-491b-81e1-c191ed6b30d3","resolution":{"observed_at":"2026-08-07T05:10:39.570052Z","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":"2026-08-07T05:10:39.575658Z","title":"V., Zhou, D., et al","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.575658Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:7101210dbe0e107f5d02c26134724b83b0edcd48122e3c6f2e4001de65a066ba","observation_id":"639404a0-88ce-4b85-92d0-bed2a024a3a4","resolution":{"observed_at":"2026-08-07T05:10:39.575658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03846","last_updated":"2023-03-08T07:37:43Z","snapshot_observed_at":"2026-07-06T14:59:39.238136Z","submitted_at":"2023-03-07T12:24:17Z","title":"Larger language models do in-context learning differently","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.03846","snapshot_observed_at":"2026-08-07T05:10:39.580010Z","title":"Larger language models do in-context learning differently","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.580010Z"},"links":{"cited_paper":"/paper/2303.03846","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:23ed652d56301896b59d9e3f48aedc3cce066b6884e1b6253cb9fa4c0bc9e2ff","observation_id":"fd5eb637-3f5e-40c1-a072-fe4f88997273","resolution":{"observed_at":"2026-08-07T05:10:39.580010Z","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":"2026-08-07T05:10:39.804240Z","title":"Zhongjing: Enhancing the chinese medical capabilities of large language model through expert feedback and real-world multi-turn dialogue","venue":null,"work_id":"9e4a372b-3a60-4daf-bb6a-1de57a05fd5f","year":2024},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.586434Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:11d083878a8751c65d1c84266837ed35bd78be5a1c92350335204defcb53c42d","observation_id":"26a8e1bd-7d69-4e0d-9ba2-5d5168bc7efb","resolution":{"observed_at":"2026-08-07T05:10:39.811024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-07T05:10:39.593295Z","title":"React: Synergizing reasoning and acting in language models","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.593295Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:e88b933c1f4d2ebac949e43058d28f3e4321e94673a92d5906d4b6afc850ea58","observation_id":"07d6517c-d09c-4578-a9f8-c6fbaa0ad8f1","resolution":{"observed_at":"2026-08-07T05:10:39.593295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.01910","last_updated":"2023-03-10T17:20:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-11-03T15:43:03Z","title":"Large Language Models Are Human-Level Prompt Engineers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.01910","snapshot_observed_at":"2026-08-07T05:10:39.599290Z","title":"I., Han, Z., Paster, K., Pitis, S., Chan, H., and Ba, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.599290Z"},"links":{"cited_paper":"/paper/2211.01910","citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:5585853161bb97ebbd22deea1a7230f6e2a9e6c9c53157a123aa40246e8d6eec","observation_id":"6615a069-eded-4c64-8a39-bf32737c3ec4","resolution":{"observed_at":"2026-08-07T05:10:39.599290Z","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":"2026-08-07T05:10:39.603710Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T05:10:39.603710Z"},"links":{"citing_paper":"/paper/2506.08669"},"observation_digest":"sha256:be08761436529a2f415d76cd47b36c0818cd6dd5b37ced283d300d0dbc933160","observation_id":"c922c6e6-575a-4a07-826a-3e763703ee40","resolution":{"observed_at":"2026-08-07T05:10:39.603710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.08669","last_updated":"2025-06-10T10:30:43Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T04:30:56.447904Z","submitted_at":"2025-06-10T10:30:43Z","title":"Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":26},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2506.08669."}