Paper Citation Record · LEDGER

What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.07681.

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

pith.paper-citation-record.v1
2411.07681 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:31:18.406673Z

measured 0 of 1 external citation measurements

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 80d37aaa-2d04-450f-ac2c-af1be3992b52 · inbound

Linear Correlation in LM's Compositional Generalization and Hallucination cites this paper.

Linear Correlation in LM's Compositional Generalization and Hallucination What Do Learning Dynamics Reveal About Generalization in LLM Reasoning?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T22:31:18.406673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-09T06:31:02.800959+00:00.