Paper Citation Record · LEDGER

Enabling Weak LLMs to Judge Response Reliability via Meta Ranking

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.12146.

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

pith.paper-citation-record.v1
2402.12146 v3

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:33:55.280113Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:27:36.818773Z

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 b88e2ac5-cdc8-4102-964c-61babca6a388 · inbound

Reinforcement Learning for Reasoning in Large Language Models with One Training Example cites this paper.

Reinforcement Learning for Reasoning in Large Language Models with One Training Example Enabling Weak LLMs to Judge Response Reliability via Meta Ranking

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:51:04.837297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f96e0ce-7823-441d-bc85-09fc21a62170 · inbound

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts cites this paper.

Act Only When It Pays: Efficient Reinforcement Learning for LLM Reasoning via Selective Rollouts Enabling Weak LLMs to Judge Response Reliability via Meta Ranking

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:55.280113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4836be59-8854-4f13-9142-035e05be2003 · inbound

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing cites this paper.

Beyond Variance: Prompt-Efficient RLVR via Rare-Event Amplification and Bidirectional Pairing Enabling Weak LLMs to Judge Response Reliability via Meta Ranking

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:27:36.821543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d63fa0f2-ed58-4303-9e3c-0b25a8582274 · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Enabling Weak LLMs to Judge Response Reliability via Meta Ranking

Reference 94

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:25:55.332259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.