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Paper Citation Record · LEDGER

Building Math Agents with Multi-Turn Iterative Preference Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.02392.

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

pith.paper-citation-record.v1
2409.02392 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:40:58.073304Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:29:15.139325Z

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 e5c32733-42ce-466c-8ebe-df0b96b1af6c · inbound

Training Language Models to Self-Correct via Reinforcement Learning cites this paper.

Training Language Models to Self-Correct via Reinforcement Learning Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T12:04:10.480556Z

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=2026-05-17T12:04:10.210508Z digest=sha256:cd34861c309e90fdae58a826e589944e3626ef84f2b30df6760a83f8ad1bcddf

Observation a663a407-f076-41a0-aa8d-4a3156ce8dff · inbound

Self-Challenging Language Model Agents cites this paper.

Self-Challenging Language Model Agents Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T11:40:58.073304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:58.073304Z digest=sha256:f425ad62a3095b0f872b8000d07799eacf9febbdff8445630fd66e9fc3cc386d

Observation 0e2ad5c0-c823-4ec9-b278-869e749f1dc5 · inbound

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification cites this paper.

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:30.683409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:30.683409Z digest=sha256:363da192103d2db80f1cf7dee4528c2ef882e1d8eb615fa80855c32ead94110b

Observation 1bad5619-96cf-4268-b912-10a1a64f4afe · inbound

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier cites this paper.

PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T04:39:37.509140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:39:37.509140Z digest=sha256:51fea53de60e9d6ab72a2a67754fde1023eeb9c099c0799d87a9cf59b194670b

Observation b04d36b0-1656-40f2-8d63-6d43fe8c1702 · inbound

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training cites this paper.

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:40:43.161609Z

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=2026-05-21T22:38:57.833414Z digest=sha256:c627d64a20ec15663fe21df449a9c14c556c2e4f705d77ce2b6979dedd7f2dcb

Observation 5ee25b76-35cb-4735-947c-3663b87fcf69 · inbound

REVES: REvision and VErification--Augmented Training for Test-Time Scaling cites this paper.

REVES: REvision and VErification--Augmented Training for Test-Time Scaling Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:29:15.141867Z

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=2026-06-26T21:14:15.337979Z digest=sha256:bee040eaae8d5b10ee41ef179dd501095110bcaf499ca4420b59b95480d513b9

Observation 64ad0b9e-d5ce-4ea7-91cd-68ce8925bf6f · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 108

Resolution
unresolved
no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T13:53:36.775836Z digest=sha256:0aa5774766f08a9f958fb8fce142fa02861414875444f00612212158c81cb020

Observation 8355aac3-cb93-42bb-ab12-945ce6089aec · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay Building Math Agents with Multi-Turn Iterative Preference Learning

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-02T08:40:44.257977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:40:44.257977Z digest=sha256:36bfc680f9514fc77998213b2d916ce1ed35797b0f1f60b4cd66a052990a9a9b