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Paper Citation Record · LEDGER

StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.14494.

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

pith.paper-citation-record.v1
2502.14494 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:33:12.228882Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:53:40.564193Z

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 17fbfcef-6d59-4686-aad8-7d66ebad32a5 · inbound

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models cites this paper.

Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:33:12.228882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:33:12.228882Z digest=sha256:feb7fbf08a3768b7a8dcf33ebe1bcc85f9c71e2dee58b7a72796f07bd14b1998

Observation 5b9004d8-d374-4eb5-ae40-09c7731055da · inbound

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments cites this paper.

Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:53:40.565668Z

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=2026-06-29T16:51:36.524194Z digest=sha256:4c3c0932a3586b6890bcf78efa140aeb0db8608284a6435e61b2baf965e81de9