Paper Citation Record · LEDGER

ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.15669.

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

pith.paper-citation-record.v1
2503.15669 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:15:19.974295Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:35:43.214692Z

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 9ec0d33d-c5aa-493f-afe2-9f2114fffd97 · inbound

AlphaEvolve: A coding agent for scientific and algorithmic discovery cites this paper.

AlphaEvolve: A coding agent for scientific and algorithmic discovery ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:32:22.534014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9f1399c7-0b28-4d78-8eb9-73e6c073d672 · inbound

Customizing an LLM for Enterprise Software Engineering cites this paper.

Customizing an LLM for Enterprise Software Engineering ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:32:22.534014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 096e3399-2d7d-4b6f-a7d3-c3f47425f8c2 · inbound

Customizing an LLM for Enterprise Software Engineering cites this paper.

Customizing an LLM for Enterprise Software Engineering ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:32:22.534014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 07707bde-45c3-4f7e-ab2c-64ec0773fff3 · inbound

MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale cites this paper.

MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-31T01:32:22.534014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3344e76-c81e-4c36-b7a3-47c2954e696b · inbound

AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies cites this paper.

AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T04:39:20.558222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0ea0df0-8a9a-4962-bcba-6c3dc8a19be4 · inbound

Characterizing the Quality Profile of AI-Generated C++ in Production cites this paper.

Characterizing the Quality Profile of AI-Generated C++ in Production ECO: An LLM-Driven Efficient Code Optimizer for Warehouse Scale Computers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T04:15:19.974295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.