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Paper Citation Record · LEDGER

ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.11511.

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

pith.paper-citation-record.v1
2312.11511 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:30:43.582129Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T16:59:58.924211Z

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 58c29299-0afa-46c1-91e1-7908038b11d8 · inbound

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length cites this paper.

AdaptiveLLM: A Framework for Selecting Optimal Cost-Efficient LLM for Code-Generation Based on CoT Length ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T04:30:43.582129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:30:43.582129Z digest=sha256:37fd460acf410b04036e1c84bd9d06d2d7ef29a8ff912dfac4ab2e08f214b260

Observation 0b003f11-1eee-40b9-baab-44569eb2f644 · inbound

Task Decomposition for Efficient Annotation cites this paper.

Task Decomposition for Efficient Annotation ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:59:58.925865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T00:00:16.588823Z digest=sha256:5cfcfba0a8395da873971ae08f7804176c51eabb5b3314503af6631202060043

Observation 3157bd3e-ba94-457e-b85a-e179d197338b · inbound

When Does LLM Orchestration Pay Off? A Controlled Evaluation of Accuracy, Cost, and Task Difficulty cites this paper.

When Does LLM Orchestration Pay Off? A Controlled Evaluation of Accuracy, Cost, and Task Difficulty ComplexityNet: Increasing LLM Inference Efficiency by Learning Task Complexity

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T00:36:51.526770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:36:51.526770Z digest=sha256:23e3eb9ffa85f6b7609dc8b1b21e638dae667eaf9f0076e240eb7d1475be1c21