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Paper Citation Record · LEDGER

VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2506.09942.

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

pith.paper-citation-record.v1
2506.09942 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:15:55.568568Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:31.338308Z

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 d2bca778-066b-4e07-aa77-599416ba9024 · inbound

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models cites this paper.

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-04T08:15:55.568568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:15:55.568568Z digest=sha256:8c10d392f01789d84fa20e0f307807479a18ceade71055e09f7514013141e2d8

Observation 9dc7ba71-e566-4c50-abad-e1eec721456f · inbound

Reasoning Up the Instruction Ladder for Controllable Language Models cites this paper.

Reasoning Up the Instruction Ladder for Controllable Language Models VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T07:07:54.796548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:07:54.796548Z digest=sha256:0a5e78c2dae74e144603fcf9199188d0f6ae21910c11fa7e02a166049b821875

Observation 11482efd-b09c-440b-810b-d29b5c6b8997 · inbound

LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models cites this paper.

LsrIF: Enhancing Logic-Structured Instruction Following of Large Language Models VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T11:27:53.625834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:27:53.625834Z digest=sha256:1f14a9120d4c31941c084cb129ec79b2c9bacf76e18c6f133c19987b1c89bb78

Observation a2da4c10-e921-4cfa-ba15-be62ae19f855 · inbound

ComplexConstraints and Beyond: Expert Rubrics for RLVR cites this paper.

ComplexConstraints and Beyond: Expert Rubrics for RLVR VerIF: Verification Engineering for Reinforcement Learning in Instruction Following

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:31.339712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-27T16:37:11.141846Z digest=sha256:0f43a59dc9fded875a46cf94a800098f6dfffe7e569f6f5d5842f602898110fe