Paper Citation Record · LEDGER

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms?

As of 10 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2607.03158.

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

pith.paper-citation-record.v1
2607.03158 v1

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:28:33.393520Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c091ef33-26e3-4b84-9818-f42b8ef2a2d7 · outbound

This paper cites Program Synthesis with Large Language Models.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Program Synthesis with Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc80d0d5-dba5-45bc-9da0-deb241f6a5b2 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Evaluating Large Language Models Trained on Code

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bdd4d66-184a-4456-a589-19273f872a44 · outbound

This paper cites Does Prompt Formatting Have Any Impact on LLM Performance?.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Does Prompt Formatting Have Any Impact on LLM Performance?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6332c34-d139-4095-bae3-570a287e1d3b · outbound

This paper cites Truong, Weixin Liang, Fan-Yun Sun, and Nick Haber.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Truong, Weixin Liang, Fan-Yun Sun, and Nick Haber

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4e6ead-48df-4c92-a52d-e7e63ae03dce · outbound

This paper cites SWE -bench: Can language models resolve real-world github issues? In International Conference on Learning Representations (ICLR), 2024.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? SWE -bench: Can language models resolve real-world github issues? In International Conference on Learning Representations (ICLR), 2024

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec50c64b-ab52-4ebe-a47f-10a85d49f662 · outbound

This paper cites From articles to code: on-demand generation of core algorithms from scientific publications.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? From articles to code: on-demand generation of core algorithms from scientific publications

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2930f41d-a84d-4745-adbd-357b70e3c544 · outbound

This paper cites Paperbench: Evaluating AI s ability to replicate AI research.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Paperbench: Evaluating AI s ability to replicate AI research

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f306a95-9a3c-416d-a672-d5271d076014 · outbound

This paper cites Scireplicate-bench: Benchmarking LLM s in agent-driven algorithmic reproduction from research papers.

Which Algorithm Specification Formats Help Language Models Implement Machine Learning Algorithms? Scireplicate-bench: Benchmarking LLM s in agent-driven algorithmic reproduction from research papers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T04:28:33.393520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.