Pith. sign in

Paper Citation Record · LEDGER

ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.00132.

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

pith.paper-citation-record.v1
2407.00132 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:05.401684Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 73dccdd8-c7f9-4942-a0aa-e64bb379a31b · inbound

AI Scientists Fail Without Strong Implementation Capability cites this paper.

AI Scientists Fail Without Strong Implementation Capability ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:05.401684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:05.401684Z digest=sha256:e08e705e1d2459c7828920ab33e61dcd596691d4f81e760681465f11057f9cc5

Observation dc0fd710-a3ef-41f0-9fc0-b3f26658a7b9 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Reference 143

Resolution
unresolved
no resolver link, observed 2026-08-06T10:55:14.993155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:55:14.993155Z digest=sha256:c1b024a7218b2cf0db7723ebb175522afca8d386012a9db372d1d9dfb9f5656e

Observation eca11115-d500-4cb8-93ac-e6db2e48c3f3 · inbound

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures cites this paper.

Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:45:23.444918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T12:43:14.903173Z digest=sha256:93faf5d3277e413c7b7f54e8eb9459fa7b221498a5c11265f896f8ee6f6e3016

Observation c793aff4-158d-4fac-a5d5-396b36908fbd · 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 ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:46:25.450987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T02:56:53.055513Z digest=sha256:50afb8b14f3dbfbec360ec6b0c3cf085c1b2d52de7dc59c31d4930eb34c3b505

Observation 841e8fbe-f47d-4537-b7c6-2abd2f3986ed · inbound

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models cites this paper.

Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models ShortcutsBench: A Large-Scale Real-world Benchmark for API-based Agents

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:54:48.820754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T00:50:27.257888Z digest=sha256:db1f35f2335f3be8bd62654a1447858139a90ac8df03e405ca8864af885fc926