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Paper Citation Record · LEDGER

WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2411.05451.

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

pith.paper-citation-record.v1
2411.05451 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:38.089411Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:16:42.442964Z

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 04881b05-875b-46b1-b652-0e3e14c25525 · inbound

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows cites this paper.

Fine-Tune an SLM or Prompt an LLM? The Case of Generating Low-Code Workflows WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.089411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:35:38.089411Z digest=sha256:05874b414bfa9b9c8b2b01b803172e8eb7ae1be46da5e7ffe86c06fe1dd4b9a8

Observation 7907fbfd-f69b-4739-a309-c6fedcf752ef · inbound

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models cites this paper.

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:35:23.583752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:35:23.583752Z digest=sha256:30810833d5db443bdd8b5df97775374c8a051325ea5696126dac12484abdb6b2

Observation ceee335f-2b95-4684-96d0-711d0138d1b6 · inbound

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution cites this paper.

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T15:34:30.101786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:34:30.101786Z digest=sha256:22a8e86aff435b86cc06a810f69021754cb8ff53526ffa96273b864ad30c3595

Observation adc8f8b0-b7d7-473e-ae53-14b333f1f138 · inbound

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation cites this paper.

Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:40:51.514268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:57:34.386632Z digest=sha256:2ea1c84ff00d00303bec5f6aa2fbd32e2fbd3c02ca7500d78ffeaa028b827cc4

Observation b43c1534-441a-461f-bbae-36191f77e30e · inbound

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language cites this paper.

Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:46:25.468207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T02:56:53.055513Z digest=sha256:3269192e49f2026dd25243ad41a20b84ff1bc72a150b9e1b29df681adcb791d1

Observation c7ed7a2b-04c2-4159-97a5-087e54829407 · inbound

From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work cites this paper.

From Agent Loops to Deterministic Graphs: Execution Lineage for Reproducible AI-Native Work WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:16:09.153733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T09:50:30.639962Z digest=sha256:8eed8c30b00d7ee1c5b5fc7a663c528d7f596e45571541cc3f3c6ad816c61a47

Observation 8deadad7-b803-4541-928a-2a7dda3d6704 · inbound

Why Does Agentic Safety Fail to Generalize Across Tasks? cites this paper.

Why Does Agentic Safety Fail to Generalize Across Tasks? WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:06:00.000168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:55:38.554161Z digest=sha256:f910a0a747d921dda89a97c493d59a21b9da644bc733f5e909e6bdf1a113b093

Observation 4ac8e496-964b-41b9-b487-bcf22c42ee19 · inbound

Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems cites this paper.

Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T04:42:16.146647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:38:38.425043Z digest=sha256:782c09f3dc1b9c18d4ce22b6c21478c5249ea5b11876dfb804b2d99f15184172

Observation 9c676add-f147-4015-9c32-6a21cbc3c8df · inbound

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning cites this paper.

LEMON: Learning Executable Multi-Agent Orchestration via Counterfactual Reinforcement Learning WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:18:31.484562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T02:13:46.176823Z digest=sha256:52dfdc5da924ce40d4ea1395cb89947dc106fef10ba30ab7a5b9d179ae7e1b4a

Observation 23e55c13-9ce9-4671-bf2c-f840dbd4190b · inbound

Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints cites this paper.

Learning to Hand Off: Provably Convergent Workflow Learning under Interface Constraints WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:08:12.129668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T10:07:03.605952Z digest=sha256:76ca1cb1f2b465ed6ae429199e5c920c4a3d028196dc70405c5f78896bdea477

Observation d1aee1d6-c5f8-4da4-9358-a73fda7111ee · inbound

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost cites this paper.

Compiling Agentic Workflows into LLM Weights: Near-Frontier Quality at Two Orders of Magnitude Less Cost WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:31:10.419162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-22T06:26:31.841138Z digest=sha256:41c19ca604b76eea4df402082524debccb95b79f569ff44534d653fcf49aa118

Observation 3fb4b7ad-cf7d-4b40-ac8a-28e6641d504b · inbound

StickyInvoc: Rethinking Task Models for High-throughput Workflows in the LLM Era cites this paper.

StickyInvoc: Rethinking Task Models for High-throughput Workflows in the LLM Era WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:39:42.053884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T11:16:53.967397Z digest=sha256:466f4c048b0a8a823c3ca8267fdd97cde39ba219666a5ab56bbf9eeed9fb3be8

Observation bb2c3781-2955-4aeb-9dc3-abd179dd2075 · inbound

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows cites this paper.

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T02:16:42.444461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-10T02:15:50.014951Z digest=sha256:40945de409a357b3188988a43fda71ea9b903304d89551f3e690e34ab6d2b16b

Observation 78f7060f-63f8-462d-834d-c96833158dd8 · inbound

Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures cites this paper.

Procedural Knowledge Is Not Low-Rank: Why LoRA Fails to Internalize Multi-Step Procedures WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T13:17:02.889003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:17:02.889003Z digest=sha256:92fbcee80978df947d67e7469257b5b6f792f9940af931e1a6093dedd2cb1862

Observation a2029bb6-0699-46e5-a514-291b31988b8d · inbound

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks cites this paper.

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks WorkflowLLM: Enhancing Workflow Orchestration Capability of Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T00:31:56.329166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:31:56.329166Z digest=sha256:bdfd17c93d91f9abcdd291710b5c8adbcb5c992ce4598b5ef4cd35b035b583a1