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Paper Citation Record · LEDGER

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

As of 22 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2506.08669.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.08669 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:39.603710Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:21:58.076991Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T00:57:30.323247Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 894f92e8-80af-4f83-9d1e-d44eb04c560e · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.466526Z digest=sha256:6e00c731823c2fa1d15fbdefb69b599a7165fdb48c901579273afbe6d50b9cf6

Observation 0ae34efb-0ceb-4a32-ac44-964a2b928fa9 · outbound

This paper cites PromptWizard: Task-Aware Prompt Optimization Framework.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search PromptWizard: Task-Aware Prompt Optimization Framework

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.471820Z digest=sha256:e287cca36ccc787bd622b4f714d3a7ab428a55f3dcfa364392373d4d0a1b7234

Observation acdfeb69-f606-44fa-8a29-a5a3b8ae8ad1 · outbound

This paper cites Program Synthesis with Large Language Models.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Program Synthesis with Large Language Models

Reference 3

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no resolver link, observed 2026-08-07T05:10:39.476798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.476798Z digest=sha256:70360bb0f0fa4093850eaea73fd776659cd01f465b366415e2a3501b8d92327f

Observation beeb8d2b-5791-41e2-9814-c42e0dbfced2 · outbound

This paper cites Language Models are Few-Shot Learners.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Language Models are Few-Shot Learners

Reference 4

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no resolver link, observed 2026-08-07T05:10:39.483953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.483953Z digest=sha256:3a7c88ddb46725051e4a8ab87ef69620b383d0e1407e41957572336c26909f4e

Observation 1c3491ff-d83b-4fa8-bedb-46ca7315fec1 · outbound

This paper cites W., Sutton, C., Gehrmann, S., et al.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search W., Sutton, C., Gehrmann, S., et al

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T05:10:39.490703Z digest=sha256:ec575f3d92eae3f1da1ec6546a870fb01da362d94d88cd827c7f730fb057503d

Observation 966d0ff8-ebcc-4caa-8c36-68cd24de5fd1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Training Verifiers to Solve Math Word Problems

Reference 6

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no resolver link, observed 2026-08-07T05:10:39.495670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.495670Z digest=sha256:4d86e5f9b344991bcdc5566e0903182b1912288a7f7c9f8f351c24ed46b02af4

Observation 1d8ed3ec-49bf-4b51-9ed1-26ae0b82aff0 · outbound

This paper cites RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.500635Z digest=sha256:a55bc6222837cd3d792af1075d21d0276f7e7a6802fb96f9ac3ee77d4a85ab88

Observation 03471fb4-6d77-446f-84f9-d049ecde82ec · outbound

This paper cites M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search M., Tong, S., Lepikhin, D., Xu, Y., Krikun, M., Zhou, Y., Yu, A

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:39.861845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.505515Z digest=sha256:d45cbe74bf4d5c3add7a4f7ae3aa2ac30440231e9a65fd88680f2d8beaf3f40f

Observation 552b034e-9c43-41e5-8efe-3ddb14102fad · outbound

This paper cites Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution

Reference 9

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no resolver link, observed 2026-08-07T05:10:39.510387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.510387Z digest=sha256:7af96c72e0e5f73927e0a2db87f105ce8a410a0ee3d47c16124b0c0c71db6d67

Observation 47993681-8a81-44c5-8701-f389aa263739 · outbound

This paper cites Mistral 7B.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Mistral 7B

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.516361Z digest=sha256:fc230929b3f4583e08a82db6eb1bdc5d0ca2e6e039b5ef761c39ff77a5b0c7f1

Observation 44ffee66-f1b0-409a-86e9-9ca8aacdc904 · outbound

This paper cites Crafting papers on machine learning.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Crafting papers on machine learning

Reference 11

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no resolver link, observed 2026-08-07T05:10:39.522382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.522382Z digest=sha256:3274e6798be7df9f0d5ad8d84009607749b423119168ba258c0902a32722223d

Observation 47769cfe-a78e-4998-9b0f-55acd2329bae · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 12

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no resolver link, observed 2026-08-07T05:10:39.527540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.527540Z digest=sha256:96ae21b4900fd6a0aa3b5ec851c25b9705e27052990fcc3e2c4108a144f4804d

Observation 9d790766-19e5-4b81-a86f-18992f9ef9e3 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Large Language Model Guided Tree-of-Thought

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.532162Z digest=sha256:218b755f3c30d3c58cd4c1c69c73fa97165c954ee787535f79a2775d94636147

Observation 17c71aa8-be3f-4bb1-8258-d9a466ab742b · outbound

This paper cites Are Large Language Models Good Prompt Optimizers?.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Are Large Language Models Good Prompt Optimizers?

Reference 14

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no resolver link, observed 2026-08-07T05:10:39.537689Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.537689Z digest=sha256:64b39b588ff1e23f26bf6c40577de5cdf02fccebed65f38f4407cf206aaafd81

Observation 658038fb-0df3-4a0c-94ee-9ad55d451652 · outbound

This paper cites Teaching Small Language Models to Reason.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Teaching Small Language Models to Reason

Reference 15

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no resolver link, observed 2026-08-07T05:10:39.542301Z

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source=arxiv_source observed=2026-08-07T05:10:39.542301Z digest=sha256:47bc0eb2aee4271e70872d7247bfd1bf36b38a6b23b734a5ae3954c365fb7ec3

Observation 35e8c7bf-09fa-4ae6-a036-9701248b87c8 · outbound

This paper cites Hello gpt-4o.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Hello gpt-4o

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:39.843326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.547729Z digest=sha256:f59f5841c968be0f5cf053ff6f938fb8b26e55a26e6a6ce78d54a2d7e2d477d8

Observation 886ca0ed-fe3a-44ae-908d-97d1d24cf0e1 · outbound

This paper cites Gpt-4o mini: Advancing cost-efficient intelligence.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Gpt-4o mini: Advancing cost-efficient intelligence

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:39.829705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.553899Z digest=sha256:39d35a7c1fa9abeaa23846f98998067205eea5c0315f31e444baa71729628b82

Observation 9817da71-1d6d-4c95-bca6-6f241c3dd680 · outbound

This paper cites Automatic Prompt Optimization with "Gradient Descent" and Beam Search.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Reference 18

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no resolver link, observed 2026-08-07T05:10:39.559056Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.559056Z digest=sha256:8ff619c73a441294957d280c9529894836af06b7aebb2daffef53f3522f7b153

Observation 589d0635-5f6a-4ccb-92ca-8ba541e8616a · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 19

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source=arxiv_source observed=2026-08-07T05:10:39.563785Z digest=sha256:3c5ff35104c92b70e933f1a1043f520951d1eaea70d076c743e143e2e2ff06d5

Observation 17a2411b-9c09-491b-81e1-c191ed6b30d3 · outbound

This paper cites Efficient Large Language Models: A Survey.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Efficient Large Language Models: A Survey

Reference 20

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source=arxiv_source observed=2026-08-07T05:10:39.570052Z digest=sha256:66fd56ce075f955b37931d5ebe9cf792bcb1188b748b8324e44ac0ada1b99f78

Observation 639404a0-88ce-4b85-92d0-bed2a024a3a4 · outbound

This paper cites V., Zhou, D., et al.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search V., Zhou, D., et al

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.575658Z digest=sha256:e4b09965cb7d63e54018a9f410a3cf95ae4559de7fc5f32744cd2126c547deee

Observation fd5eb637-3f5e-40c1-a072-fe4f88997273 · outbound

This paper cites Larger language models do in-context learning differently.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Larger language models do in-context learning differently

Reference 22

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no resolver link, observed 2026-08-07T05:10:39.580010Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.580010Z digest=sha256:3ca059bebe0d8912666bbecabb0f9d2ea461d1e58c606c93f3e30fd0716c430d

Observation 26a8e1bd-7d69-4e0d-9ba2-5d5168bc7efb · outbound

This paper cites Zhongjing: Enhancing the chinese medical capabilities of large language model through expert feedback and real-world multi-turn dialogue.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Zhongjing: Enhancing the chinese medical capabilities of large language model through expert feedback and real-world multi-turn dialogue

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T05:10:39.811024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.586434Z digest=sha256:d85383fb9be20a53bdb5a56998d717ef4f06c5181b0d7b49c0ba175657d89e31

Observation 07d6517c-d09c-4578-a9f8-c6fbaa0ad8f1 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

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no resolver link, observed 2026-08-07T05:10:39.593295Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.593295Z digest=sha256:5dbd66144a6b435918de5377d14221b19db385ac323d38fa60a71d2b89d5ccd8

Observation 6615a069-eded-4c64-8a39-bf32737c3ec4 · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search Large Language Models Are Human-Level Prompt Engineers

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.599290Z digest=sha256:78a88cf6967d04d8103e0a941c285f0140d89c067a78f278f87dbaa15f793e8f

Observation c922c6e6-575a-4a07-826a-3e763703ee40 · outbound

This paper cites write newline.

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search write newline

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.603710Z digest=sha256:8e3b23aadf4a7d71ed40ee8fd0b5f0d9f2327740bb943f816a84b3b437d09d3b

Pith citing papers

Observation 4b6429ff-78c4-4dad-b48d-be30648211ef · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Reference 235

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verified exact
arxiv_id, observed 2026-05-12T08:40:41.453655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:3e2f5bb630d88744a7643895961911ca94cc8b66cec3c9bc627e47b8e0e80609

Observation c7b9731c-c43d-4fd1-a02d-add407ee5e21 · inbound

SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance cites this paper.

SEF-CLGC at SemEval-2026 Task 11: Logical Notation Impact on Language Model Performance Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Reference 7

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metadata mismatch
arxiv_id, observed 2026-07-03T00:57:30.325259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T16:53:44.256573Z digest=sha256:eb2e030b6249a2a37ec6341cdd507626ae02f23c1191beb18e641c2230d42216

Observation 4a7c5f08-f794-4fc0-9883-da6087dda01b · inbound

AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models cites this paper.

AdaHome: An Adaptive Smart Home Assistant using Local Small Language Models Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Reference 4

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no resolver link, observed 2026-08-01T16:21:58.076991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:21:58.076991Z digest=sha256:fa0447e82185b298f03eb4e34d99f56d4fc446de887f160b4d5676957ac442a1