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Paper Citation Record · LEDGER

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution

As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2608.08037.

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

pith.paper-citation-record.v1
2608.08037 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:38:15.941060Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

38 of 38 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afa6c208-d31b-4b52-811f-87d26188e7bb · outbound

This paper cites OpenClaw documentation,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution OpenClaw documentation,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6a637db0-07bc-4c6e-9da7-4ebec163d73f · outbound

This paper cites Claude Code documentation,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Claude Code documentation,

Reference 2

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.754877Z digest=sha256:25fd1161e9f9ada6e60893272435f649811a385d7d816005d7161d3e89a704a1

Observation 96b8c744-3bf3-48f9-9d91-8669b8ce5383 · outbound

This paper cites Hermes Agent,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Hermes Agent,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.759764Z digest=sha256:5c2848b57445b2410f77a096264678925d63a1e933ab1db3679125a31bdef9cd

Observation 76230315-b5ce-4194-acb8-b566b3b962f0 · outbound

This paper cites CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

Reference 4

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:38:15.764700Z digest=sha256:cc251057b8f265baffed929b9b3ba49dad9c8b35ad888a5837f8147d712af5de

Observation 30d1c536-97dd-4a92-8426-877c88eaec48 · outbound

This paper cites Distilling LLM agent into small models with retrieval and code tools,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Distilling LLM agent into small models with retrieval and code tools,

Reference 5

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source=pdf_text observed=2026-08-12T00:38:15.770887Z digest=sha256:5844cfe46c59805412d564dec27d97e0c7852e7f1df661da63332a0969ec3a01

Observation 5cf83703-c401-4f14-8a26-9bb2f6b3b8ba · outbound

This paper cites Language models are few-shot learners,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Language models are few-shot learners,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.776338Z digest=sha256:91d6977adbc75c2baf160ed2f1ca67c25eac838882aaac2659cd3f637e654f92

Observation f1185b0c-ab04-4dea-b311-18717026374a · outbound

This paper cites Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Reference 7

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source=pdf_text observed=2026-08-12T00:38:15.782189Z digest=sha256:8c2e6ed5ebd23d2b03429ef78ddf23092e5a2872ffae7c2630cc00d0e278fde1

Observation 5dbda133-f9f4-4551-93ae-5d5a1c9e05bd · outbound

This paper cites ExpeL: LLM agents are experiential learners,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution ExpeL: LLM agents are experiential learners,

Reference 8

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raw_fallback, observed 2026-08-12T00:38:16.588144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.787728Z digest=sha256:e15a4350a782a5a0e7b1fd06f0ba1f546b7d32f8b5a4350d2f599f1f30f7c9d3

Observation fed2172f-65c4-4b66-9018-ec3c76be1b25 · outbound

This paper cites Agent workflow memory,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Agent workflow memory,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.793046Z digest=sha256:e15008f2acf44accc26576ced6dcd8ef9907d72d79c594daa454bb30d08fbf3b

Observation 7c5dfc12-e3b4-4f63-ac4e-41df830c817d · outbound

This paper cites Equipping agents for the real world with agent skills,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Equipping agents for the real world with agent skills,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.798272Z digest=sha256:3df0c73fce78f0a00357952450e1189978e8f8f45226a0d57859d348d97e29a5

Observation e619ffb9-a065-4eac-8a9d-e424d31ebd59 · outbound

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

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Reference 11

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source=pdf_text observed=2026-08-12T00:38:15.802817Z digest=sha256:b583c73295aeb2fbfe4fd0a02abc681aea55cc269e4179bd2a459c35a03cab58

Observation b3de5f30-9544-4d0f-941d-69f25e16a628 · outbound

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

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution EvoSkill: Automated Skill Discovery for Multi-Agent Systems

Reference 12

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source=pdf_text observed=2026-08-12T00:38:15.807719Z digest=sha256:f9647ccaf43ccbb91441497774bdc73e24c0d51a7214cb5b02351d9c5fef81bc

Observation e0fc9cf9-e89c-4418-bd4e-ebf895ec745e · outbound

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

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution CoEvoSkills: Self-Evolving Agent Skills via Co-Evolutionary Verification

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:38:15.812620Z digest=sha256:39f000f4c98d7e5173e897e50209235a54332137be8d4392a6d9dbea57d43c01

Observation a5db0e09-43a5-4e49-b92a-3016efe552af · outbound

This paper cites ReAct: Synergizing reasoning and acting in language models,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution ReAct: Synergizing reasoning and acting in language models,

Reference 14

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source=pdf_text observed=2026-08-12T00:38:15.817345Z digest=sha256:67967becff43bb1429cfecbceefdee263ddd9ce8d3c1cde5ff2113047fe40937

Observation 0d364910-d76c-42b2-a185-2340d2874e6b · outbound

This paper cites Qwen3.6-27B model card,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Qwen3.6-27B model card,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:38:16.526615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.823962Z digest=sha256:7d13cb9eb234f639253ddf8058f3352bbdef732d9a498ec73330f2078819de79

Observation dc4dd584-d356-4263-988e-6701b4283da8 · outbound

This paper cites SWE-bench: Can language models resolve real-world GitHub issues?.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution SWE-bench: Can language models resolve real-world GitHub issues?

Reference 16

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source=pdf_text observed=2026-08-12T00:38:15.828622Z digest=sha256:b5183c80e1685708d50cf7aa2782a8d5b094d460268ae80a37160992cbcf5ec7

Observation d2dca72b-e9c8-4379-a2c9-27b5388d18aa · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 17

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source=pdf_text observed=2026-08-12T00:38:15.833278Z digest=sha256:a9ee04330db8360cb71ee88408e706111de7a4396c294cefe8e864a316d4e180

Observation 3cb9708d-18cd-42eb-858a-d7bfa36cda85 · outbound

This paper cites QwenClawBench: A real-user-distribution bench- mark for evaluating OpenClaw agents,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution QwenClawBench: A real-user-distribution bench- mark for evaluating OpenClaw agents,

Reference 18

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.838635Z digest=sha256:f6edd0870884af02009339edabaf3bf83a8d5bf68feaa683adacd34ee0877887

Observation 0a37b29b-9945-40f9-8e5f-cabf781794c8 · outbound

This paper cites GPQA: A graduate-level google- proof Q&A benchmark,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution GPQA: A graduate-level google- proof Q&A benchmark,

Reference 19

Resolution
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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.843393Z digest=sha256:b3a48ecf747fc275ff8c1a74be4a71528bd4442aa42888d723cb12b99880f95a

Observation a7bdbb7a-84a6-4fdb-b008-2bc3d57de184 · outbound

This paper cites Claude model overview,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Claude model overview,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.848448Z digest=sha256:414a60134c24c5e1d03d654b059e6153988445f33a430e2940891312f289b7d8

Observation 6a460e14-33c7-44bb-8042-f580e46c7934 · outbound

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

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution SoK: Agentic Skills -- Beyond Tool Use in LLM Agents

Reference 21

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source=pdf_text observed=2026-08-12T00:38:15.854885Z digest=sha256:f8f52da5e918b3df75637e409962c8d470f4233f7681cc841555ca72b8061f56

Observation 5e6042ad-350b-46a9-9770-ae0c48bbd91c · outbound

This paper cites Memento: Fine-tuning LLM Agents without Fine-tuning LLMs.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Reference 22

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source=pdf_text observed=2026-08-12T00:38:15.860743Z digest=sha256:cff93cf3f7e4388f188cda8944945eb67a5e2a98c327ac6d43028c0d846e3ee9

Observation 1559c5b8-cd71-4774-9a02-21ff05515fad · outbound

This paper cites Memp: Exploring agent procedural memory,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Memp: Exploring agent procedural memory,

Reference 23

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.866417Z digest=sha256:200ceec628250ba8e5124f6b9c40704a1e162a4e6f21a528c4fab27fd4ee4f81

Observation b9a196c5-e96a-4ab3-93d6-54d52cb7892c · outbound

This paper cites On the Structural Memory of LLM Agents.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution On the Structural Memory of LLM Agents

Reference 24

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source=pdf_text observed=2026-08-12T00:38:15.871145Z digest=sha256:14f9d8ed5a51fdc155b981514f19bad45b9d2696472f75b4b25976cd4717d2a2

Observation 5344f87e-2851-40cb-a84b-eb4dd9aad7d1 · outbound

This paper cites SkillX: Automatically Constructing Skill Knowledge Bases for Agents.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Reference 25

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source=pdf_text observed=2026-08-12T00:38:15.876365Z digest=sha256:e765c75a6303bff105193ea3abd430e96fd3fb40acca55c463b803b5e9049610

Observation 74322dbe-177a-4933-b4b7-503a14fdcc21 · outbound

This paper cites SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 26

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source=pdf_text observed=2026-08-12T00:38:15.881256Z digest=sha256:3f3b9e4be0b77494fe92176d9285267805d7f7399c78a5dac07890a49ffa4a02

Observation 0d86f9f9-25a8-43d9-89fb-ff8a8cf444c2 · outbound

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

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Reference 27

Resolution
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source=pdf_text observed=2026-08-12T00:38:15.886673Z digest=sha256:f2cee02685f485cc50c8f7dc827e18bb17aaad2a7ef8937cb3fca646ce945e36

Observation 7b671fca-a2f3-4691-8d8a-4eb6c5a38614 · outbound

This paper cites Optimizing generative AI by backpropagating language model feedback,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Optimizing generative AI by backpropagating language model feedback,

Reference 28

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source=pdf_text observed=2026-08-12T00:38:15.891756Z digest=sha256:149f6bba607dafd571c9fcc197b95329c4dd4b2aef8bbc2ead51753286d9201c

Observation df85a3d2-c4e3-457d-9a6d-6c32e480b840 · outbound

This paper cites V oyager: An open-ended embodied agent with large language models,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution V oyager: An open-ended embodied agent with large language models,

Reference 29

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.897039Z digest=sha256:edcbb38f39be5241f692d0f838612700442a1dbb70d0e6e0d39efc85cdf78d9f

Observation 6372b6d8-4d4c-40f4-85d2-4f1edcc40dfc · outbound

This paper cites AutoManual: Constructing instruction manuals by LLM agents via interactive environ- mental learning,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution AutoManual: Constructing instruction manuals by LLM agents via interactive environ- mental learning,

Reference 30

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.901989Z digest=sha256:34282a1797f8adb37fc2594f3bb45b8bcda43a20b9d1d053f7531cedba52ae83

Observation e35e9d5a-e9b4-4782-9ae8-d90efae356a2 · outbound

This paper cites AppWorld: A controllable world of apps and people for benchmarking interactive coding agents,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution AppWorld: A controllable world of apps and people for benchmarking interactive coding agents,

Reference 31

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raw_fallback, observed 2026-08-12T00:38:16.389054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.906902Z digest=sha256:e96395ab3a478d417a462aa5b6e3b9c417b0e22fb3924e8a2ebe6483ae345f63

Observation 4b5fce83-1d92-491d-b28b-d4a84dc956a6 · outbound

This paper cites WorkBench: A benchmark dataset for agents in a realistic workplace setting,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution WorkBench: A benchmark dataset for agents in a realistic workplace setting,

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.911815Z digest=sha256:828c05b9985d108383e995d5726850ae551d958e5c95d633e774e2d7d94dc152

Observation 5cfc1a3c-d7d5-452a-a1b6-faa2b7c5f198 · outbound

This paper cites OpenAI model documentation,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution OpenAI model documentation,

Reference 33

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raw_fallback, observed 2026-08-12T00:38:16.355311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.916942Z digest=sha256:95c27a5ee3b14d5f8224820997fcb57ebd6c5f0aea66eca41a860453b66a1525

Observation 212db431-547e-46ce-83a3-def2bc9798d5 · outbound

This paper cites Qwen3-30B-A3B model card,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Qwen3-30B-A3B model card,

Reference 34

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raw_fallback, observed 2026-08-12T00:38:16.337236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.921880Z digest=sha256:9620649f33e482303a3927394e796d9788c3dd43a24c413c1f1769a5bbc82102

Observation b21b2e15-2703-434a-91d0-fea2096196ca · outbound

This paper cites Gemma 4 31B model card,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Gemma 4 31B model card,

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-12T00:38:16.321269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.926640Z digest=sha256:587b35542ad8bcf5a2dbfd8a814599aa0c3b9d258df9d9b5423176a9cc861d71

Observation 19a7dd72-57a7-4d05-953a-2bcbc1b3dd70 · outbound

This paper cites FrugalGPT: How to use large language models while reducing cost and improving performance,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution FrugalGPT: How to use large language models while reducing cost and improving performance,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:38:16.304732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.931512Z digest=sha256:8c80cc4393dd0695f27150e1a1944c9204f2cb61f9959c38297aa84bebebb2dc

Observation 835b9e87-0a00-4a8f-980f-9e665e31fea6 · outbound

This paper cites Remember me, refine me: A dynamic procedural memory framework for experience-driven agent evolution,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Remember me, refine me: A dynamic procedural memory framework for experience-driven agent evolution,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:38:16.287653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.936423Z digest=sha256:c8c351bc57b6ef8b2a7865bfdca3a7998dac599b598edec587b464a991c1eda6

Observation 220ca580-c618-44fc-8d69-2129513b9b1b · outbound

This paper cites Learning hierarchical procedural memory for LLM agents through Bayesian selection and contrastive refinement,.

SkillSmith: Enhancing Locally Deployed Agents via Automatic Skill Construction and Evolution Learning hierarchical procedural memory for LLM agents through Bayesian selection and contrastive refinement,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T00:38:16.269447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-12T00:38:15.941060Z digest=sha256:d401bea9cfb7a8365048517ffe629846a40da1bd059fcd6c5007d61701750717

Pith citing papers

No inbound Pith citation observations are available.