Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2412.02674.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T02:43:36.764821Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:56:13.476979Z
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 88fa9f2e-85a3-466f-8bbc-a2d61ed641f9 · inbound
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula cites this paper.
A Task-Centric Theory for Iterative Self-Improvement with Easy-to-Hard Curricula Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:43:36.764821Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c17bca8-58cc-4883-b5af-fff3617f1794 · inbound
Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents cites this paper.
Beyond Verifiable Rewards: Rubric-Based GRM for Reinforced Fine-Tuning SWE Agents Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T12:25:35.849997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d4970fb6-29dc-4158-9ff4-388f7f142f42 · inbound
AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.
AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T07:11:53.591039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation fc296c37-263e-4b37-918d-b29e828bd96c · inbound
Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains cites this paper.
Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T06:46:37.231503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation caec8726-3d6a-4f00-a7cb-0274bf57bdcc · inbound
Annotations Mitigate Post-Training Mode Collapse cites this paper.
Annotations Mitigate Post-Training Mode Collapse Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 58
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T06:46:51.283999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation f5591126-1c6c-4e21-b113-78511853ae51 · inbound
On the Generalization Gap in Self-Evolving Language Model Reasoning cites this paper.
On the Generalization Gap in Self-Evolving Language Model Reasoning Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T17:22:24.928244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 95b3bb05-48ac-4514-b2bf-632c27e7fbed · inbound
Trust Region On-Policy Distillation cites this paper.
Trust Region On-Policy Distillation Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T20:56:13.478449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6d689bb3-6ea7-4f52-9251-8247dbb3f52d · inbound
Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models cites this paper.
Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T11:05:42.232371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.