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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=sha256:18eb8f2e2e72fa82bf3b68c1556fc7587fadbe14fd3e18b79adc96a1afb4b8ca

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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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=sha256:3571c661062b59c43950b450f5325aa881e8d99cb7e241e3bce306b7bb828b52

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-12T00:38:15.764700Z digest=sha256:cf959a6363b20c65893abf607313818d0db60d9b8997537568f8da382060407e

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=sha256:04a17b147ade477dddb924276dd21f6409c9b30f46995ef80de277723b46bd5e

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=sha256:7171f82af3cab5288cc01956544943ae5232d0f25f2ce09873e13c219c6c4ee8

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=sha256:49d82ceb1267e49271c47c081bf86dccaa0f608998bbc98a1678a89530bdb4a9

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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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=sha256:0b9e887542cf04370377e9a7db6dd5b95a192e65039f1897efb06601c2565fbd

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:e6c226b4103aa7a31ba3f0ce793770d17fb6f4803340177d14cb0a954b39f205

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=sha256:43cede7208bd6294c350e1f60bd97ace1267c54ac643cdfaef1139623e807462

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=sha256:9c8457113c67159c0b33c59e9f01ea7f09ee410afe6d0946f27af72b05975eab

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:a64277c59351a4c7c2e203402c1cce5a825991005256a96106527438a9d75ca2

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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source=pdf_text observed=2026-08-12T00:38:15.812620Z digest=sha256:77f8951ada52e9680f08f9c3da393c4e8b3e660dd1080ed02f9ca3d8e72d21dc

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=sha256:69e764089bff4a1d9a810e430b6ca4daf344b48d84e134a8f7c7ce9f2b3d52ae

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=sha256:01240d28a8eae004241f1fcffafe7989789e819a2f5ba7169c3679cb2e8b267f

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:de1355e12e536a73c2c854e30f895b76b2976a332d3b071892f3c7f8583057f5

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:ef50f6cbc6b97ff829d00ebe49795bebdf907f5e41a10aab10391900a71420c9

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=sha256:1e2e520bba01c6c89a8b73bc9471c8d13cced147439f34acf8bb27c9fe479a67

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

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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:f226c32ba71dea15719f4ef44bcf61100ef8c03f681af83149c3e38ded4bfa50

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

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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=sha256:509ba2cfc80e04679af8e2bd7cb468b6cba62206ae285efbc66ce0b215471b56

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=sha256:5a94e0a8516d3fa591732d6deee466e7c704a567cf6a9efa67dbdf947d0dfe56

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=sha256:7a9258e79c449f39fc3e555743b80e928111c8ca6c30f91b8833d6d0243441e1

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:b79e5bdac770d3fac3786a81383c544f334219d3496990957d11d1fcb3e502ad

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=sha256:54c2fb0d5e17bbbd43e9e5201775749a2c169ab51b7e329f3448a881872ed155

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=sha256:5ae309627976e21df2ef66ab84c1cb21012544767e0d5a377c3fa48bc1239c27

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:b9ba3c67803d8f4dfdd779283149c24eb161dd6a287a43f28147e0d5a3ee4ae2

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

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source=pdf_text observed=2026-08-12T00:38:15.886673Z digest=sha256:ff1355125c3d7df949a95d2b941d7ddc61fa210f0ee757195e8bd434592adb6a

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=sha256:8eddb85cd84fd665ef211ea6b2f2a43d70b44613bea6ebbba58e94bbb4495d13

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

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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=sha256:5b7a3b7d82ace1bf617f9d8174481e5cedbfbdb6167a96f2e6d3d3f15c8feeb9

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=sha256:039d182a798a7c5e061ba2c9889d7fdcbdfe33581712a82a0f093d3dcc3b0ce6

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:a65417db7d991abdcc56b557d8681b065268aabbb69a7d593b338a17dcdfb001

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=sha256:03b476877688b461641dd8a27de8c398a654301c87bbdb5b8efcdccdf97588e6

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:bfe012ac9a8c11d9621d5e4be854bfd694b4cae530f5bc092ed1f2b336663a6f

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=sha256:1d169233ff0af47f4e25fd831676d1ab10ac10ee4df11d83340e8343939c0cca

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=sha256:30b8895902bc503c7a4e704c91fb83ff0648d005626b6c38a39bbbed98765e99

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=sha256:1018b3785207f5c6ee932a8dfb06be1110e7e8b9e0886c03f6010417db7bcb32

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=sha256:433cb815ed970de4d95e810f3e0d685cfd95e688355b6809380b4c4ba610b90a

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:c16f74a662be8bfa80238484c22d61e053efd27f8b78ac6d982494d0709956a3

Pith citing papers

No inbound Pith citation observations are available.