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Paper Citation Record · LEDGER

Self-Supervised Skill Optimization

As of 8 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2607.28777.

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

pith.paper-citation-record.v1
2607.28777 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:30:35.909301Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1561d374-1de5-43fb-8806-5197afc0fb9e · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , volume =.

Self-Supervised Skill Optimization Chain-of-Thought Prompting Elicits Reasoning in Large Language Models , volume =

Reference 1

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source=arxiv_source observed=2026-08-03T00:30:35.708175Z digest=sha256:f74cc6ad5c78fa5e00207cc67eb299846234c58d108c9f59130f45f332ca6ab7

Observation e0126cef-ccc5-4b41-86e9-8f7f35048b46 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year=.

Self-Supervised Skill Optimization Proceedings of the International Conference on Learning Representations (ICLR) , year=

Reference 2

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source=arxiv_source observed=2026-08-03T00:30:35.714353Z digest=sha256:9d8d215a3cb85840fc78ed12e7b209eae125dc71e2816d3201cef32ad4248aeb

Observation 90b6d0c8-9062-4d06-b05e-9778c917e9cf · outbound

This paper cites gradient descent.

Self-Supervised Skill Optimization gradient descent

Reference 3

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source=arxiv_source observed=2026-08-03T00:30:35.719050Z digest=sha256:f594124532aa0405f683acf934a7651f07390da9033b6cfae0590dac68da0052

Observation 3ca73d22-c90c-4d87-8be7-7c14af136c00 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , volume=.

Self-Supervised Skill Optimization Proceedings of the International Conference on Learning Representations (ICLR) , volume=

Reference 4

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source=arxiv_source observed=2026-08-03T00:30:35.723893Z digest=sha256:a8cdef0d76d2510b92d23ac3ea6b84bd3be415008d219a3c059ebd0728d046a3

Observation 594803d1-f88e-4a00-9028-58a46c91b045 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , volume=.

Self-Supervised Skill Optimization Proceedings of the International Conference on Learning Representations (ICLR) , volume=

Reference 5

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source=arxiv_source observed=2026-08-03T00:30:35.728513Z digest=sha256:3ef645a0d646e4d2d322581de5c1f71186ddaab704f24ea2eeece762de268dff

Observation 798b48af-6dec-4157-9e7c-8430a32dcb5b · outbound

This paper cites Proceedings of the International Conference on Machine Learning (ICML) , pages=.

Self-Supervised Skill Optimization Proceedings of the International Conference on Machine Learning (ICML) , pages=

Reference 6

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source=arxiv_source observed=2026-08-03T00:30:35.732908Z digest=sha256:4a595e99a6f070f69ba3f2ce995d6e67aeb8ea6d6cc97c5319ef5c5144fb3669

Observation 7a1d9bec-64fd-456b-b386-51dae8fda41b · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

Self-Supervised Skill Optimization TextGrad: Automatic "Differentiation" via Text

Reference 7

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source=arxiv_source observed=2026-08-03T00:30:35.737746Z digest=sha256:1fe2fe1cabb3690e33f365f2213697a7c545388af072151a8293b57ea49a21c5

Observation 671ca9a9-1127-41c5-be9f-6ce9b554caf1 · outbound

This paper cites First Workshop on Foundations of Reasoning in Language Models , year=.

Self-Supervised Skill Optimization First Workshop on Foundations of Reasoning in Language Models , year=

Reference 8

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source=arxiv_source observed=2026-08-03T00:30:35.742980Z digest=sha256:cfa330058cd2a8a1e182d48b47c20f124a0699ee5f8054c1e3d1764c18e8d171

Observation 442dd535-4cbc-4860-8f07-8741f0969244 · outbound

This paper cites Self-Supervised Prompt Optimization.

Self-Supervised Skill Optimization Self-Supervised Prompt Optimization

Reference 9

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source=arxiv_source observed=2026-08-03T00:30:35.748197Z digest=sha256:319bdbd9b8aa9ab745a2e9ec8b15e4d56fda259018246b601a56f1e60253c04b

Observation 61257f9d-9726-43c1-9187-fefdd3ef2a75 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2026 , pages=.

Self-Supervised Skill Optimization Findings of the Association for Computational Linguistics: ACL 2026 , pages=

Reference 10

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source=arxiv_source observed=2026-08-03T00:30:35.753229Z digest=sha256:a18b2ba5c46926566a9a283e28184dc9d70dd81a73eaa0c0c2578a64735db83b

Observation ab501e47-1c7f-4a98-aacb-de5d0398ca32 · outbound

This paper cites UPA: Unsupervised Prompt Agent via Tree-Based Search and Selection.

Self-Supervised Skill Optimization UPA: Unsupervised Prompt Agent via Tree-Based Search and Selection

Reference 11

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source=arxiv_source observed=2026-08-03T00:30:35.757835Z digest=sha256:3bae4b928701d5f1ebfff93dd3756e93d47acbb5af39b44d64d7595a7009403f

Observation 1fe2342a-e034-44b9-9d36-5880104ca654 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena , volume =.

Self-Supervised Skill Optimization Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena , volume =

Reference 12

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source=arxiv_source observed=2026-08-03T00:30:35.762589Z digest=sha256:b1983745d9f31a751c3ea7a2f6567826acaeeedf3cab45bc6d1e1b2e9aad189f

Observation 3a3a5f76-088d-4a23-9ce3-57e1ee25168c · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year=.

Self-Supervised Skill Optimization Proceedings of the International Conference on Learning Representations (ICLR) , year=

Reference 13

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source=arxiv_source observed=2026-08-03T00:30:35.766976Z digest=sha256:33bbd08bf4f93bf220b3a4021596b65e4894d36313c7f550676c6126c7413ab5

Observation 7646b716-b7a3-4ee9-9eb1-f3ab8c4fb430 · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools , volume =.

Self-Supervised Skill Optimization Toolformer: Language Models Can Teach Themselves to Use Tools , volume =

Reference 14

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source=arxiv_source observed=2026-08-03T00:30:35.771005Z digest=sha256:c625a115c16ece1db7fb71919e14bf59007273d27bf030f26e524bd6786227e7

Observation 6078b208-2804-499f-a812-e9cfd669f6eb · outbound

This paper cites Transactions on Machine Learning Research , year =.

Self-Supervised Skill Optimization Transactions on Machine Learning Research , year =

Reference 15

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source=arxiv_source observed=2026-08-03T00:30:35.775157Z digest=sha256:f6a6384a219baf33f173408dee6198f94663ae549be300aa9397a662a90e4885

Observation a11c87a9-132a-4bd2-8488-296ea35afe7e · outbound

This paper cites SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks.

Self-Supervised Skill Optimization SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Reference 16

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source=arxiv_source observed=2026-08-03T00:30:35.779359Z digest=sha256:9ddbdb7b0e1287ed09c455e61af32db1a1d6794ff48e33f3643b5a701577abb5

Observation 3c6757f8-65df-41af-ba49-f44fc305feac · outbound

This paper cites SoK: Agentic Skills -- Beyond Tool Use in LLM Agents.

Self-Supervised Skill Optimization SoK: Agentic Skills -- Beyond Tool Use in LLM Agents

Reference 17

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source=arxiv_source observed=2026-08-03T00:30:35.783923Z digest=sha256:b3bec75d9977b2c4c924720aa51b2bd2bfcb8775e566fa6473b9287abc6f71e4

Observation cc1e0d34-2158-4590-b6b2-df0caad35b86 · outbound

This paper cites Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills.

Self-Supervised Skill Optimization Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 18

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source=arxiv_source observed=2026-08-03T00:30:35.788887Z digest=sha256:c507670b32855393713b17a892ac3ff0ef851e81ab6977d4b5312b79c067f718

Observation 3ffb7ce2-c021-4d8c-b031-d9f55f7073fb · outbound

This paper cites arXiv preprint arXiv:2603.01145 , year=.

Self-Supervised Skill Optimization arXiv preprint arXiv:2603.01145 , year=

Reference 19

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source=arxiv_source observed=2026-08-03T00:30:35.793401Z digest=sha256:26207ddfcd9d036d64271a6b407ed85ffa72c36e4dde99eb3dda3538944fb06b

Observation 380c6959-2c8f-4864-a93f-b008561bc305 · outbound

This paper cites arXiv preprint arXiv:2601.22758 , year=.

Self-Supervised Skill Optimization arXiv preprint arXiv:2601.22758 , year=

Reference 20

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source=arxiv_source observed=2026-08-03T00:30:35.797678Z digest=sha256:8212e98d651075eaa076bb24f3224838b3c96d9e4ebfdc8135a212f1c49324f7

Observation 7a2dcc34-56eb-4b0e-8d34-9204ada3bb46 · outbound

This paper cites SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources.

Self-Supervised Skill Optimization SKILLFOUNDRY: Building Self-Evolving Agent Skill Libraries from Heterogeneous Scientific Resources

Reference 21

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source=arxiv_source observed=2026-08-03T00:30:35.801812Z digest=sha256:332bc65060db4d0fa6c72dbdcc99e82e56ef96088c6d143898dfe580c9029c64

Observation 382c0b66-1b04-41b2-9e99-4f7478a4f63f · outbound

This paper cites EvoSkill: Automated Skill Discovery for Multi-Agent Systems.

Self-Supervised Skill Optimization EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 22

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source=arxiv_source observed=2026-08-03T00:30:35.806258Z digest=sha256:4cbc178d2d24a57d539cb6cc17406e3eaf60d902639e11b4ca7aff51f5dde8c3

Observation f436ef62-d3d3-4239-be59-876167483288 · outbound

This paper cites SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support.

Self-Supervised Skill Optimization SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support

Reference 23

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source=arxiv_source observed=2026-08-03T00:30:35.810712Z digest=sha256:25dcc779856fe04766e94ce4f760a8688b3d63c70128fde6d9f50d7be79964a7

Observation ce894af9-884a-42ad-8ecd-887bbeded087 · outbound

This paper cites CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification.

Self-Supervised Skill Optimization CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

Reference 24

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source=arxiv_source observed=2026-08-03T00:30:35.814935Z digest=sha256:cde639d86984d7191b0829ba1ed66d4c494fe98292797a65681afcf18b2c4bbe

Observation d1af9089-9a18-4de5-b196-27f73840d175 · outbound

This paper cites SkillGen: Verified Inference-Time Agent Skill Synthesis.

Self-Supervised Skill Optimization SkillGen: Verified Inference-Time Agent Skill Synthesis

Reference 25

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source=arxiv_source observed=2026-08-03T00:30:35.819355Z digest=sha256:68551609644a52d863e6c081cde7d5ff120c0042636ac74ee377ce42b55ea6bb

Observation f70f7660-6b9d-4732-850a-9aebf6423bee · outbound

This paper cites SkillOpt: Executive Strategy for Self-Evolving Agent Skills.

Self-Supervised Skill Optimization SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Reference 26

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source=arxiv_source observed=2026-08-03T00:30:35.823982Z digest=sha256:2ca679010c15903a3fb72f36e36dd330511f41367f09345441883828acc76eba

Observation b2b096c7-8664-4223-b5a8-c854f926392a · outbound

This paper cites Hypothesis-Driven Skill Optimization for LLM Agents.

Self-Supervised Skill Optimization Hypothesis-Driven Skill Optimization for LLM Agents

Reference 27

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source=arxiv_source observed=2026-08-03T00:30:35.828459Z digest=sha256:9918eb36aca4025747c549ba0bfef8727e8fd52a09007f9e7ed9bf9ba83d560f

Observation b4b26408-85ae-4631-b7bc-6af887851c0a · outbound

This paper cites arXiv preprint arXiv:2606.14239 , year=.

Self-Supervised Skill Optimization arXiv preprint arXiv:2606.14239 , year=

Reference 28

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source=arxiv_source observed=2026-08-03T00:30:35.833159Z digest=sha256:36d2ffc34bcee599e114fe6cd029d6a755e109236c0b947ef262a36d11314ecd

Observation 07f4f2ea-1be0-4e7d-832b-66e2fd2de157 · outbound

This paper cites From Context to Skills: Can Language Models Learn from Context Skillfully?.

Self-Supervised Skill Optimization From Context to Skills: Can Language Models Learn from Context Skillfully?

Reference 29

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source=arxiv_source observed=2026-08-03T00:30:35.837547Z digest=sha256:f423afe8f40c94d7c3b9b6acaad15901838acf837e03a5c1bae7b61494d695a3

Observation d35a5db1-eac1-45ed-ba7c-11a1f9037460 · outbound

This paper cites Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO.

Self-Supervised Skill Optimization Skills-Coach: A Self-Evolving Skill Optimizer via Training-Free GRPO

Reference 30

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source=arxiv_source observed=2026-08-03T00:30:35.842056Z digest=sha256:5b25bd2479f4c019089f2cb554db2a378b9ff3686e94daadbac914153fba2dfb

Observation 0145545f-7cba-44a5-bfe1-94d8f2ce85c2 · outbound

This paper cites Unsupervised Skill Discovery for Agentic Data Analysis.

Self-Supervised Skill Optimization Unsupervised Skill Discovery for Agentic Data Analysis

Reference 31

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source=arxiv_source observed=2026-08-03T00:30:35.846251Z digest=sha256:b3fbb42f17f5dd31a03aa2b5e4cfb184133d05f32e0ba0a73ce780e4c9be4ad2

Observation d52146c4-344c-450b-987a-f8129586a70d · outbound

This paper cites SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement.

Self-Supervised Skill Optimization SkillAxe: Sharpening LLM-Authored Agent Skills Through Evaluation-Guided Self-Refinement

Reference 32

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source=arxiv_source observed=2026-08-03T00:30:35.850659Z digest=sha256:9084519cf8885a5b00041377d34cbb6f1cbd1b9ba8558f813a1bd70129793453

Observation 33467621-2f3e-4e7e-b155-e154bea5f2d2 · outbound

This paper cites OpenSkill: Open-World Self-Evolution for LLM Agents.

Self-Supervised Skill Optimization OpenSkill: Open-World Self-Evolution for LLM Agents

Reference 33

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source=arxiv_source observed=2026-08-03T00:30:35.855297Z digest=sha256:adcab14ce3410bb79d870ba43df5ed0df6e7d7ace7cfafc79b45470027b6edae

Observation 40e1d992-34a0-4677-a4f9-143b2a549ea5 · outbound

This paper cites arXiv e-prints , pages=.

Self-Supervised Skill Optimization arXiv e-prints , pages=

Reference 34

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source=arxiv_source observed=2026-08-03T00:30:35.859717Z digest=sha256:ef8b0afd0fa5f2399dc68284e6945b43541907c4a64e33ba6bc00847cb4f1c2d

Observation 40fa5f4d-aec2-438b-ae64-08b162f8b557 · outbound

This paper cites SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine.

Self-Supervised Skill Optimization SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine

Reference 35

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source=arxiv_source observed=2026-08-03T00:30:35.863640Z digest=sha256:fc51a2e3ad6ef7c7b5ecd9a2df3a8a62c42e0c7369fe4597977507a7705d1313

Observation 4b423fc5-88a8-4c61-982a-b4984e2b71e7 · outbound

This paper cites SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation , volume =.

Self-Supervised Skill Optimization SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation , volume =

Reference 36

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source=arxiv_source observed=2026-08-03T00:30:35.868056Z digest=sha256:9890f2e2a8c2730701c65429a663cb9dcb349d4fa74faf5d84cd30221ea30188

Observation 6de90cc8-0f52-4d50-9641-ab87c91b8799 · outbound

This paper cites arXiv preprint arXiv:2603.08655 , year=.

Self-Supervised Skill Optimization arXiv preprint arXiv:2603.08655 , year=

Reference 37

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source=arxiv_source observed=2026-08-03T00:30:35.872005Z digest=sha256:c616244eb3afabfe1e59fc757ee05d40d2ad327865561eac1b8fa59e20371875

Observation dd1fe0ce-4e2f-4d53-ad9e-6e21e984a39c · outbound

This paper cites , title =.

Self-Supervised Skill Optimization , title =

Reference 38

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source=arxiv_source observed=2026-08-03T00:30:35.876527Z digest=sha256:2d7887b8050d870c715249f0f616060ed73de4cedf6869d0e08a52e8cbb5d5fb

Observation 7e704f80-5510-4853-84d2-7aeec149ac12 · outbound

This paper cites arXiv preprint arXiv:2604.01754 , year=.

Self-Supervised Skill Optimization arXiv preprint arXiv:2604.01754 , year=

Reference 39

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no resolver link, observed 2026-08-03T00:30:35.881084Z

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source=arxiv_source observed=2026-08-03T00:30:35.881084Z digest=sha256:935ba08d76f5067451fcb527862f2dac9e7f2e5932a996ee34b3fd11e1f33e68

Observation 34dcb2e4-5128-4956-a467-0e6532b7077f · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year =.

Self-Supervised Skill Optimization Proceedings of the International Conference on Learning Representations (ICLR) , year =

Reference 40

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no resolver link, observed 2026-08-03T00:30:35.885973Z

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source=arxiv_source observed=2026-08-03T00:30:35.885973Z digest=sha256:9e00ba0e4300755cc6233c1f49452018e8a7f4eff24b74b5b781ee2de48e2130

Observation 65f5f366-1121-492c-95fa-74c43281f630 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , pages=.

Self-Supervised Skill Optimization Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL) , pages=

Reference 41

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unresolved
no resolver link, observed 2026-08-03T00:30:35.890414Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-03T00:30:35.890414Z digest=sha256:6e7b92ef29029db22ad63a17e165bed1c5776671eed8ab25f97a37ed27aa0572

Observation a6dde51b-d340-44c2-aeb6-52d9d7c88be8 · outbound

This paper cites First International KDD Workshop on Prompt Optimization , year=.

Self-Supervised Skill Optimization First International KDD Workshop on Prompt Optimization , year=

Reference 42

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no resolver link, observed 2026-08-03T00:30:35.894956Z

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source=arxiv_source observed=2026-08-03T00:30:35.894956Z digest=sha256:fd3184f4ba61005d85231be1e39d7277541faa35e0951de2dee302e72e067aeb

Observation 7c291972-3bc8-4a37-b719-4a9f8d72ef21 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners , volume =.

Self-Supervised Skill Optimization Large Language Models are Zero-Shot Reasoners , volume =

Reference 43

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no resolver link, observed 2026-08-03T00:30:35.899820Z

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source=arxiv_source observed=2026-08-03T00:30:35.899820Z digest=sha256:a806bf6372a06f9afec691f1ce0e1ab56e092f36c495bec2a5ecb7d645d5dea1

Observation 2b8aaf88-11d3-4c17-97e8-4af55e83324a · outbound

This paper cites Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective , volume =.

Self-Supervised Skill Optimization Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective , volume =

Reference 44

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no resolver link, observed 2026-08-03T00:30:35.904380Z

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source=arxiv_source observed=2026-08-03T00:30:35.904380Z digest=sha256:af55459ff45a8262cf84d4ff25d3be4c8833a48bb08c6fcbbd7c6b62352ed01a

Observation d97d80f9-6ee7-4fe8-8a93-997923f9a2b7 · outbound

This paper cites 2026 , url =.

Self-Supervised Skill Optimization 2026 , url =

Reference 45

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no resolver link, observed 2026-08-03T00:30:35.909301Z

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source=arxiv_source observed=2026-08-03T00:30:35.909301Z digest=sha256:0f7f6477fc1f7e3b1a141ed5ca5f2d6d6c6b89b721611a5651eedc2761dea1bc

Pith citing papers

No inbound Pith citation observations are available.