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Paper Citation Record · LEDGER

Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.16831.

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

pith.paper-citation-record.v1
2407.16831 v1

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:25:14.734364Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T14:44:45.108013Z

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 c5e77a22-8b4c-46c3-a73f-8ee1be81ca7b · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:42:23.628892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T04:42:23.297389Z digest=sha256:275614c0e72d3733ec75140a1850c37ee26ebbc3df1ff1e49057544cf44125cd

Observation 549341de-d95d-4e83-a469-8592eeb0cccc · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:14.734364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:14.734364Z digest=sha256:da9f1e0950d36bd6ddeec8b98ff835c38d640579d4643ee141390449d2827078

Observation 86e23b2c-1e1a-4ead-8f25-6ba08c120b97 · inbound

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild cites this paper.

Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild Networks of Networks: Complexity Class Principles Applied to Compound AI Systems Design

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-30T14:44:45.109815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-30T14:41:07.354007Z digest=sha256:455e4e57f1bb5e54a18549e03eba280a11ca7cc8c036045cdd90e310b927ae80