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Paper Citation Record · LEDGER

Learning from Peers in Reasoning Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2505.07787.

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

pith.paper-citation-record.v1
2505.07787 v1

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:59:41.908963Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T08:53:03.650861Z

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 e66e0fbc-e017-4a28-bfda-b3c83cc3bc04 · inbound

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework cites this paper.

Adaptive Termination for Multi-round Parallel Reasoning: An Universal Semantic Entropy-Guided Framework Learning from Peers in Reasoning Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T18:59:41.908963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:59:41.908963Z digest=sha256:f8c9366b89cbd2cba73dbce7c0c4e73666d65bf6b33be352fc0833029efc904d

Observation 63245719-83c1-421f-965f-4e7e4baeb7c0 · inbound

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models cites this paper.

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models Learning from Peers in Reasoning Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T20:21:08.060154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:21:08.060154Z digest=sha256:056a9e2afdca1e4ea1935fb08f5169a57ca25904e6a544e33b749eda8666f792

Observation 7824f657-254f-4a13-b8c3-96efb2d142a9 · inbound

Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework cites this paper.

Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework Learning from Peers in Reasoning Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-05T05:45:03.041044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:45:03.041044Z digest=sha256:08b1b50c128b5b84a0fe216e349c63433dc5d9ca62ed5af0703ecc4bdb353a28

Observation c27b8e1e-b6de-48bb-b66c-bb51be424721 · inbound

EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance cites this paper.

EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance Learning from Peers in Reasoning Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T14:44:14.634746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:44:14.634746Z digest=sha256:a7e8b78fe4b0c24cb19f2a8d960fb627efd4411fc6c9d9a656c9721fe2aa179b

Observation 70809acb-c836-4335-8fd2-839cd2eee6eb · inbound

Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning cites this paper.

Cut Your Losses! Learning to Prune Paths Early for Efficient Parallel Reasoning Learning from Peers in Reasoning Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:53:03.652476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T08:52:46.918285Z digest=sha256:d7de78c7bfefdb6306d6f9a490cd7e9e62a1795550699dd4fb2de3611c9b0fe8