Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.07681.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:34.600789Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T08:55:35.518940Z
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 7974c83d-b72e-4146-a36e-208df11b3aa8 · inbound
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems cites this paper.
Are Large Language Models Reliable AI Scientists? Assessing Reverse-Engineering of Black-Box Systems What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:40:34.600789Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17f9e3bf-0230-4412-bbc5-75a0e6c85efd · inbound
Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs cites this paper.
Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:33:54.842975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca396ef6-9d3c-4f2b-bd7c-4cc78d7acaac · inbound
Adaptive Multi-Agent Reasoning via Automated Workflow Generation cites this paper.
Adaptive Multi-Agent Reasoning via Automated Workflow Generation What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T16:10:28.644012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d683b36-6cd5-4f8e-9a97-81a064d07a87 · inbound
Beyond the Sampled Token: Preserving Candidate Support in RLVR cites this paper.
Beyond the Sampled Token: Preserving Candidate Support in RLVR What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:34:07.566361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b345da0-d280-4c06-a9be-09a94444ae1a · inbound
Addressing Over-Refusal in LLMs with Competing Rewards cites this paper.
Addressing Over-Refusal in LLMs with Competing Rewards What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T08:55:35.520304Z
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.