Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.14047.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:14.526344Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T13:51:05.463740Z
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 c5c45858-6dec-423c-862c-3210acfec7d6 · inbound
VeriThinker: Learning to Verify Makes Reasoning Model Efficient cites this paper.
VeriThinker: Learning to Verify Makes Reasoning Model Efficient Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:42:14.526344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6ad73c1-ae5e-45b7-8cd3-1feca1aa0d6f · inbound
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning cites this paper.
How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:32:23.957399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d47c2c8-f0d3-470a-91d3-6b778fa7cdc3 · inbound
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling cites this paper.
DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:48:23.226273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3244a49a-43a8-48a4-9b42-85e0e7cd0d7a · inbound
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations cites this paper.
Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-08-04T00:30:16.661537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 14620a36-c3a6-48bc-a052-d02270950edc · inbound
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI cites this paper.
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals
Reference 171
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T11:29:34.612861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.