Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.23743.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:39:18.745109Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-29T19:03:51.834471Z
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 92a18ce8-6f92-4aae-80a1-7f1ee0280512 · inbound
When More is Less: Understanding Chain-of-Thought Length in LLMs cites this paper.
When More is Less: Understanding Chain-of-Thought Length in LLMs What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:23:22.079601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8148d11-4e9b-4667-b687-3b5f65736822 · inbound
Reasoning Can Hurt the Inductive Abilities of Large Language Models cites this paper.
Reasoning Can Hurt the Inductive Abilities of Large Language Models What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:36:13.280627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1083498-799d-4ade-94ce-86090ac20c60 · inbound
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models cites this paper.
Spectral Insights into Data-Oblivious Critical Layers in Large Language Models What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:11:24.934062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b26c2b7-7cf4-4c1d-9933-cff2d5aae3f3 · inbound
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding cites this paper.
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:52:18.391931Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b7a4137-6fbc-43b0-a369-83cd4f74b06a · inbound
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning cites this paper.
CaughtCheating: Is Your MLLM a Good Cheating Detective? Exploring the Boundary of Visual Perception and Reasoning What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:39:18.745109Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5f17dd1-7cd4-439e-a439-a55953373809 · inbound
Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs cites this paper.
Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:12:31.713901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8dc1b848-912e-46c8-b377-ca4aa5f724da · inbound
Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.
Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T19:03:51.835964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.