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Paper Citation Record · LEDGER

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs

As of 4 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 2 inbound Pith citation observations for arXiv:2605.12039.

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

pith.paper-citation-record.v1
2605.12039 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T06:37:27.279300Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:33:46.459481Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

22 of 22 outbound references displayed

  • verified exact15
  • verified fuzzy4
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c5d3b65-e34b-4449-be04-c704a7991981 · outbound

This paper cites Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.632509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:8234d2318f62ac0a001deaa2fb38f1c8cc82f828680769d37c4a4f0b643c4864

Observation 2c10484f-e166-44f7-b69f-8f00e3d86d50 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.645447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:c738ec62fe68dad8c3b10f7d3f479b5ea68529beccf95e543ad86c653ad4f875

Observation fdb8acc0-24fb-4782-8a5f-44de4c14e559 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.677882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:b59f390f15b8cb1e368e3bd1e86aea7ee22db2adb53c7fc7755496d9f51513de

Observation 6ca401aa-1c41-4fc8-90ac-1d260bf4537a · outbound

This paper cites Memp: Exploring Agent Procedural Memory.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Memp: Exploring Agent Procedural Memory

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.671847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:c65573debc4300988d6102b62c80770b178023c4de260ef824af1694f6a28142

Observation 7daaebc8-dc2b-4288-995e-d17923254d7e · outbound

This paper cites GPT-4o System Card.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs GPT-4o System Card

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.638115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:75e978690d263d658fe21f74ad4c8b277aaa1c1d072a9512fcf620151347a224

Observation b42af61e-de5f-4491-879a-dbce162b4fe0 · outbound

This paper cites OpenAI o1 System Card.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs OpenAI o1 System Card

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.665747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:97ba4372be5099236ff354f5ca6f6a6afa0fff366dba2ac6d4105d8765d14417

Observation d337e318-1796-49eb-b569-df43b5d2ddb7 · outbound

This paper cites Search-o1: Agentic search-enhanced large reasoning models.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Search-o1: Agentic search-enhanced large reasoning models

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:07:32.834194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:38555444dab221547d61cb94984e7bf33839f3f4ecb93f58dee838eb14af5246

Observation 4b13211c-aa1a-4711-9d69-983be50a3306 · outbound

This paper cites SimpleMem: Efficient Lifelong Memory for LLM Agents.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs SimpleMem: Efficient Lifelong Memory for LLM Agents

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:10:45.412758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:8b646b93b27f8644f4fca02ebd30baf0eb57e7f00383125679188d51c5b42e59

Observation ca769326-ecff-4340-acdc-2f77cd327f04 · outbound

This paper cites ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:42:50.464031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:3c36737d445af02424aa933f686b4677de795d64d6a1a1a6fd19f1b295c5574f

Observation f564a11a-28a3-4e80-af17-ba2d194a4c9e · outbound

This paper cites Measuring and narrowing the compositionality gap in language models.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Measuring and narrowing the compositionality gap in language models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:07:32.836164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:735fb6319258ab73ecac03aeddeba049cec5f027bfd96fbd3953a6f61cefed73

Observation 86728444-2f2a-41b8-b98c-7e10f86330ab · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.600635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:f83a01b04ce448bca2f858053c327a6161449d60b214243976444f653199ecfe

Observation 37ee4269-071f-40d9-8e63-60562d2d8a6f · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T17:44:13.577137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:677ca1fc2e40674eedee8bc215f95701f4b4e170220ff26e152a8694f2f2ca36

Observation d8ce3595-a03a-47de-acaa-6fbaa34c96fc · outbound

This paper cites Agent kb: Leveraging cross-domain experience for agentic problem solving.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Agent kb: Leveraging cross-domain experience for agentic problem solving

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:42:26.596405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:311403eadcc673796d2a62993f77a11434e29c45b534bee19c42a3ccb88a0bb5

Observation fa5cd6fe-9585-475b-a989-3916c17abab7 · outbound

This paper cites Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Mem-{\alpha}: Learning Memory Construction via Reinforcement Learning

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T17:19:44.839865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:3808079329fc8a5ecd7160fd67ef072e6b3b0efe45dc2b20c0653df5775fe8c3

Observation aff68a27-5e04-4116-bc03-9ff3126ec76b · outbound

This paper cites EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.589538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:f2504def564f123354dfa646511f1d8115e30e8751513fea1ceb4b3cdfd1fc4a

Observation deab1483-280a-42aa-9f48-bd6c1b4105cc · outbound

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

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.583695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:cdcbedaf595d19d66d95680f21b0f66a7d929a15dd80827f652592b52968afd7

Observation 328c2771-e846-4715-ab62-d54919cc119b · outbound

This paper cites Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:39:45.524165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:2b3220b0bfdedca1befd331720fd5183495288e829cdd39b22d038dbeeb49f68

Observation 1112d11a-1151-4250-bc98-66ba261dc0fa · outbound

This paper cites Qwen3 Technical Report.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Qwen3 Technical Report

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:42:26.565306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:a4d05d703d9bf494f83c86034e0226c0691ac2f33ab88eb0deca0f94aee9b9cf

Observation 72863dca-d7e3-4e1b-b7fb-fa368984e4b4 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:07:32.830215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:efb24c1f04b2f4c6b7e997404a3936fac81a8c00f4ba486a083e09dc31589d20

Observation 63e09903-73c5-4a65-a198-55d154c0711a · outbound

This paper cites MemEvolve: Meta-Evolution of Agent Memory Systems.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs MemEvolve: Meta-Evolution of Agent Memory Systems

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T22:18:15.377574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:4f9ebe2144ab5cab0c6decbfc4f2bcbf532ef4abdf0a2b0626e8ffbb7bdc809b

Observation 0ae3c66d-6235-432d-89a6-a10c8fb33c4b · outbound

This paper cites MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-17T14:49:05.169764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:d64db9a394e329c3bdfb5e460d1f6b85deeac59517bb872745ec1e5de7d74f91

Observation 5de66853-f7a0-4784-899b-2ee0add99361 · outbound

This paper cites Table 7: Search-augmented QA validation accuracy (%) for SKILLGRAPHover training.

SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs Table 7: Search-augmented QA validation accuracy (%) for SKILLGRAPHover training

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:07:32.832223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T06:37:27.279300Z digest=sha256:c89a8f2efeef3ce836104ef276bd642bf9891f0d402346de88263592e43d053f

Pith citing papers

Observation 0f6f8af4-4bc0-456a-82ec-a4d98c1b9c2c · inbound

The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents cites this paper.

The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T04:31:35.759137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:31:35.759137Z digest=sha256:e85fc029a69761f25cec66517b70a5937a10d4cd30877873a12627d720ab2eaa

Observation d53b479d-8adf-409a-b9f6-c6abcd9ba5be · inbound

Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember cites this paper.

Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T06:33:46.459481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:33:46.459481Z digest=sha256:e8693bab5e5caffca7be6868e0000efc695e5adb287799ebf811f50f94c680ab