Pith. sign in

Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.466526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.466526Z digest=sha256:8ffd4080040965cbaf5e39a440e523b56643b67e860d25790337877b301ba6f4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.471820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.471820Z digest=sha256:f29240dd7805a01652a89acbe0454c8f7da4fc386812c8bdb092ebad3f74cabb

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

Resolution
unresolved
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=sha256:73c383de403f673559d7687044e8f8e4bee3c7ff47864488879525e9a21ea560

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

Resolution
unresolved
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=sha256:5904465f040ac6b10d94e8f8c906338f913ca21e332e01a5d75f4aa0b15fd683

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.490703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.490703Z digest=sha256:cfb5e95484708e8b1f17f142cf1220667f6212f10acc78de8383b3e6b77007e3

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

Resolution
unresolved
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:b58d01015ae326301f7c46eeb08b46c8c9e3f1666961dc436e81e752eff794e9

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.500635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.500635Z digest=sha256:9e1ae611b2a3874dcf266a9fa7c468f03ce400dacde2c53319f2bb6dea362644

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.505515Z digest=sha256:99f9dffe0be4df8deb17e18afd9509cf987ac4f7375a19707b570062a09df3c2

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

Resolution
unresolved
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=sha256:5fa7f1754eae167f34ba3d59a0d2c527b97053751ced536916a51805c1d9c319

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.516361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.516361Z digest=sha256:1b45824d704b24c4c812b93620311c992c03dabe341a5a05e26844e650c6601c

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

Resolution
unresolved
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=sha256:7043a1de9615f4758572cad99d9e82f95e4b1fae02752c82abae68439d7c3b5e

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

Resolution
unresolved
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:ff917d1bd9053afa17d3489a30df1dfad2209d9938584782619015fd46e0613b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.532162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.532162Z digest=sha256:2f1f0f43e08ca45317dd53a902a43ca8c2e7fc80a8b05d3dedf13d6aa9819f9b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.537689Z digest=sha256:ea12be5559e221828fa6dfc1eaea987f66dd3a962c228a5af882e82d21550091

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.542301Z digest=sha256:ba5ed255aeaa2ca2a3cabd96ed709f3b5815780d642090bfe6db375967248790

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.547729Z digest=sha256:ecec7007447ae0468e322220c4a1d2660c8336a7b09244c0a89dbfd22ba1af8e

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.553899Z digest=sha256:915db902412564cbbe3847cb81b199cd00083450b9f228dd0ffa459b72bdfa0b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.559056Z digest=sha256:9d0f2010b6ac2cd30fed44895544764043f4352b22e78388bd06af4777f9d17c

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.563785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.563785Z digest=sha256:d9fa96d356d74a4c1b0104348ec322c09aa97426ba64d488c169b71b8a02a343

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.570052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.570052Z digest=sha256:6c47314fc6824511aa1c0e1074f0134cad1215462ff4e651c26f950363490adc

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.575658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.575658Z digest=sha256:7101210dbe0e107f5d02c26134724b83b0edcd48122e3c6f2e4001de65a066ba

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.580010Z digest=sha256:23ed652d56301896b59d9e3f48aedc3cce066b6884e1b6253cb9fa4c0bc9e2ff

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T05:10:39.586434Z digest=sha256:7ba9a3ec4af1e98bd5f5557f2b35d1af1741552111018136dd1f8fc3dbfe707f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.593295Z digest=sha256:e88b933c1f4d2ebac949e43058d28f3e4321e94673a92d5906d4b6afc850ea58

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.599290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.599290Z digest=sha256:5585853161bb97ebbd22deea1a7230f6e2a9e6c9c53157a123aa40246e8d6eec

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

Resolution
unresolved
no resolver link, observed 2026-08-07T05:10:39.603710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:10:39.603710Z digest=sha256:be08761436529a2f415d76cd47b36c0818cd6dd5b37ced283d300d0dbc933160

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:d853505c4dad672133a1ea5ef4bfc82b9a79886e0754f090c3c9eb646e78b43f

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T16:53:44.256573Z digest=sha256:632d95a9c82ab3bee5cedce42e8165a4fb4398707b04670cab768ab1d10eddb0

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

Resolution
unresolved
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:f71cadc6059d26ac6d5e55a3e2702640cb57f7c9c45db8673c9aafed3764c887