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Paper Citation Record · LEDGER

SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.09316.

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

pith.paper-citation-record.v1
2501.09316 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:22:25.451076Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T13:57:07.073834Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d1e106bf-15ea-42d6-bde4-29d0d178a8f2 · inbound

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks cites this paper.

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T19:22:25.451076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:22:25.451076Z digest=sha256:f11437a935ba9a8b8e422dc7b645ea5d85a07191fc7d1e09afdb54136655aa34

Observation b85cb51c-19f6-4b39-bb2c-96d51d0a32c3 · inbound

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering cites this paper.

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Reference 179

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:21:00.042895Z

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=arxiv_source observed=2026-05-10T17:40:14.733882Z digest=sha256:a14de1f4d508e91d4b5126cf862284c49aa8591d7cc54b6ad13a6dc0d787b31f

Observation 57e37817-548c-43e6-9b91-93be10c8b0f3 · inbound

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cites this paper.

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:06:34.902141Z

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=2026-05-12T03:45:06.199636Z digest=sha256:ff5f45aba2902bd0be6e374671b190deefddb344719cfd2d5b877222b53eecaa

Observation d2e5611c-afdb-4532-843e-d435c3c6f1b8 · inbound

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning cites this paper.

Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:23:48.419696Z

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=2026-05-20T22:19:49.016156Z digest=sha256:2c358fc90fde4a50a72d682ed70fb7c2ce639e64f34202ac3ba9c73910dcaf16

Observation e8c56f07-1946-4215-a736-3525b0f3fac9 · inbound

Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses cites this paper.

Bayesian-Agent: Posterior-Guided Skill Evolution for LLM Agent Harnesses SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:47:28.323256Z

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=arxiv_source observed=2026-06-27T19:25:47.085930Z digest=sha256:b535e004cba00e5ddb1f89c8240441dd1332924217fb0030f4e06352b71bd4fe

Observation 7bd141f5-6827-4d00-83f0-e28f558dd807 · inbound

Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems cites this paper.

Tool-Making and Self-Evolving LLM Agents in Low-Latency Systems SOP-Agent: Empower General Purpose AI Agent with Domain-Specific SOPs

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T13:57:07.075162Z

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=arxiv_source observed=2026-07-10T13:47:37.248017Z digest=sha256:8e10ae8de8c408bae3819d673e7f9e4b877948bb0c451fe0b4b376bdc8633f24