Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning to Route LLMs with Confidence Tokens
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.13284.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T11:12:46.757296Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z
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 e0258134-f9f5-405a-91af-19cb0376577c · inbound
A Greedy PDE Router for Blending Neural Operators and Classical Methods cites this paper.
A Greedy PDE Router for Blending Neural Operators and Classical Methods Learning to Route LLMs with Confidence Tokens
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:32:36.221339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3eae1ae1-2b90-47f0-8fef-0bec7d8477ec · inbound
Causal Evidence that Language Models use Confidence to Drive Behavior cites this paper.
Causal Evidence that Language Models use Confidence to Drive Behavior Learning to Route LLMs with Confidence Tokens
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T09:44:05.693586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 81732ac0-4d7d-4b32-b5f6-26d49f0c004c · inbound
RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM Serving cites this paper.
RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM Serving Learning to Route LLMs with Confidence Tokens
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T21:25:52.166347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation a259a06f-33b8-4034-88a6-7b3035a8a73b · inbound
Calibration-Aware Policy Optimization for Reasoning LLMs cites this paper.
Calibration-Aware Policy Optimization for Reasoning LLMs Learning to Route LLMs with Confidence Tokens
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:06:00.827261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 08528414-b712-4aeb-86cf-1b38c31e9983 · inbound
Inference Time Optimization with Confidence Dynamics cites this paper.
Inference Time Optimization with Confidence Dynamics Learning to Route LLMs with Confidence Tokens
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T11:14:37.611830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 50d93704-2aeb-4baf-bb86-42695eab7c80 · inbound
Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning cites this paper.
Before Thinking, Learn to Decide: Proactive Routing for Efficient Visual Reasoning Learning to Route LLMs with Confidence Tokens
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T13:34:41.134561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.