Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Cache & Distil: Optimising API Calls to Large Language Models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.13561.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T12:29:48.266603Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:17:08.774095Z
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 e101302d-01af-4387-88db-c56ad89e7193 · inbound
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate cites this paper.
From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate Cache & Distil: Optimising API Calls to Large Language Models
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T12:29:48.266603Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 169a8a96-4c7c-412b-b493-9b7f2b174c7d · inbound
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Cache & Distil: Optimising API Calls to Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:25:19.664915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ddbcf273-44eb-4338-99b8-695ce6e04f59 · inbound
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques Cache & Distil: Optimising API Calls to Large Language Models
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:56:56.962993Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc66c43f-6e5f-4ec2-a714-5f6bf1e1a73d · inbound
Brevity is the soul of sustainability: Characterizing LLM response lengths cites this paper.
Brevity is the soul of sustainability: Characterizing LLM response lengths Cache & Distil: Optimising API Calls to Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:09:10.941521Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 365e0782-d255-4921-932b-1544368270a9 · inbound
From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing cites this paper.
From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing Cache & Distil: Optimising API Calls to Large Language Models
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:17:08.775430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.