Paper Citation Record · LEDGER

Learning Fitness Functions for Machine Programming

As of 17 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:1908.08783.

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

pith.paper-citation-record.v1
1908.08783 v5

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:40:46.843267Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

39 of 39 outbound references displayed

verified exact6
verified fuzzy13
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebe2449a-e6e5-4d6d-8059-5085cc739620 · outbound

This paper cites write newline.

Learning Fitness Functions for Machine Programming write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.672507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6099ceaa-b017-4722-b5b6-484df2bb948a · outbound

This paper cites URL https://images.nvidia.com/content/pdf/tesla/whitepaper/pascal-architecture-whitepaper.pdf.

Learning Fitness Functions for Machine Programming URL https://images.nvidia.com/content/pdf/tesla/whitepaper/pascal-architecture-whitepaper.pdf

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.841404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0d44adc5-6399-4707-8a69-7b18f557e9e8 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2015.

Learning Fitness Functions for Machine Programming TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2015

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.827973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37a0115b-6234-4c5e-96e3-5e3efa865510 · outbound

This paper cites an unresolved cited work.

Learning Fitness Functions for Machine Programming Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.688256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c864dfc-02ac-4351-9a6d-ff3c68de5b84 · outbound

This paper cites L., Brockschmidt, M., Nowozin, S., and Tarlow, D.

Learning Fitness Functions for Machine Programming L., Brockschmidt, M., Nowozin, S., and Tarlow, D

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.805792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bd7feff-9f18-4eda-bad9-6d365a8a351d · outbound

This paper cites AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms.

Learning Fitness Functions for Machine Programming AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:40:47.585213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ae112b7-b92c-4905-b002-5b4e2e646188 · outbound

This paper cites and Jobstmann, B.

Learning Fitness Functions for Machine Programming and Jobstmann, B

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.790073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64bdefe6-a6d7-47f3-a1d3-bbf9d05e4c9a · outbound

This paper cites J., Devlin, J., Singh, R., and Kohli, P.

Learning Fitness Functions for Machine Programming J., Devlin, J., Singh, R., and Kohli, P

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.777196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48a9260a-6111-451f-8dcb-7712159e732d · outbound

This paper cites Making Neural Programming Architectures Generalize via Recursion.

Learning Fitness Functions for Machine Programming Making Neural Programming Architectures Generalize via Recursion

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.762623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8704ad4b-15ed-444a-b9d2-59b7f95d2485 · outbound

This paper cites Using Program Synthesis for Social Recommendations.

Learning Fitness Functions for Machine Programming Using Program Synthesis for Social Recommendations

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:40:47.565320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2fc86dc3-3426-485c-8a63-64ec5f3e45b2 · outbound

This paper cites K., Evans, W., Muth, R., and De Sutter, B.

Learning Fitness Functions for Machine Programming K., Evans, W., Muth, R., and De Sutter, B

Reference 11

Resolution: metadata mismatch; raw_fallback, observed 2026-08-14T11:40:47.544768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f71a7e31-cfd3-4a95-83e4-0ee84625fb91 · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

Learning Fitness Functions for Machine Programming ImageNet: A Large-Scale Hierarchical Image Database

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.725425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 399908e8-1554-40bb-869d-5b418e2234cf · outbound

This paper cites LINQ to SQL: .NET Language-Integrated Query for Relational Data , 2007.

Learning Fitness Functions for Machine Programming LINQ to SQL: .NET Language-Integrated Query for Relational Data , 2007

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.740008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 283b1238-b040-4e9a-b190-c36ff9d256bf · outbound

This paper cites an unresolved cited work.

Learning Fitness Functions for Machine Programming Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:40:47.722759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 978e87bf-a252-401c-a928-d5b365cecb4c · outbound

This paper cites B., and Mattson, T.

Learning Fitness Functions for Machine Programming B., and Mattson, T

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.736087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005e31ab-717b-402b-8ed8-67bd1e23e769 · outbound

This paper cites R., and Singh, R.

Learning Fitness Functions for Machine Programming R., and Singh, R

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.740510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09127bd2-aa2b-4ad2-9fc7-63c61393c2ac · outbound

This paper cites Stratified Synthesis: Automatically Learning the x86-64 Instruction Set.

Learning Fitness Functions for Machine Programming Stratified Synthesis: Automatically Learning the x86-64 Instruction Set

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.745292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f0b1236-5f93-4a03-a4ef-d6c5c109bae9 · outbound

This paper cites Genetic algorithm with artificial neural networks as its fitness function to design rectangular microstrip antenna on thick substrate.

Learning Fitness Functions for Machine Programming Genetic algorithm with artificial neural networks as its fitness function to design rectangular microstrip antenna on thick substrate

Reference 18

Resolution: verified exact; doi, observed 2026-08-14T11:40:46.917152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8b3a297f-032b-4383-a32c-f548f1a2cd6d · outbound

This paper cites an unresolved cited work.

Learning Fitness Functions for Machine Programming Unresolved cited work

Reference 19

Resolution: verified exact; doi, observed 2026-08-14T11:40:46.903397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0e05dd63-1982-4d00-a8a1-1a0ea358749b · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.

Learning Fitness Functions for Machine Programming Learning Multiple Layers of Features from Tiny Images

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.704802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d5b57e56-5777-4909-8d01-1aa1a9592423 · outbound

This paper cites Evolv Delivers Autonomous Optimization Across Web & Mobile.

Learning Fitness Functions for Machine Programming Evolv Delivers Autonomous Optimization Across Web & Mobile

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.693112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 069f703b-f6c6-47d4-aaa7-7f065024d1fa · outbound

This paper cites and Wang, B.

Learning Fitness Functions for Machine Programming and Wang, B

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.677087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aff37ce6-71ed-4657-a16e-97085e1445ba · outbound

This paper cites Hierarchical Representations for Efficient Architecture Search.

Learning Fitness Functions for Machine Programming Hierarchical Representations for Efficient Architecture Search

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.772174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4737675e-27db-43ae-b639-16c3b1cab34f · outbound

This paper cites D., and Torlak, E.

Learning Fitness Functions for Machine Programming D., and Torlak, E

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.777970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78f8f0f-b4cf-4d7d-87b8-7a1693af7b27 · outbound

This paper cites and Waldinger, R.

Learning Fitness Functions for Machine Programming and Waldinger, R

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.658922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c87219c6-7bcc-49e9-a5b0-9d92bf48b19e · outbound

This paper cites an unresolved cited work.

Learning Fitness Functions for Machine Programming Unresolved cited work

Reference 26

Resolution: verified exact; doi, observed 2026-08-14T11:40:46.889238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c8e850e-4b26-4bb0-92ea-05a15f66135d · outbound

This paper cites an unresolved cited work.

Learning Fitness Functions for Machine Programming Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:40:47.646104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa79cba4-7240-45bb-add7-9c34b445d899 · outbound

This paper cites MLSys: The New Frontier of Machine Learning Systems.

Learning Fitness Functions for Machine Programming MLSys: The New Frontier of Machine Learning Systems

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T11:40:47.205992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 714f6870-1a83-4e12-8ecb-318069c90c1e · outbound

This paper cites Code Completion with Statistical Language Models.

Learning Fitness Functions for Machine Programming Code Completion with Statistical Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.798271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f97db6c-5477-41b1-8269-bd21f44a7878 · outbound

This paper cites Regularized Evolution for Image Classifier Architecture Search.

Learning Fitness Functions for Machine Programming Regularized Evolution for Image Classifier Architecture Search

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.802465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b514046-50c5-48b9-8c9e-14841a677beb · outbound

This paper cites an unresolved cited work.

Learning Fitness Functions for Machine Programming Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:40:47.628380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba48a90d-f545-47f3-b3bf-1cbf04dc713b · outbound

This paper cites Neural Programmer-Interpreters.

Learning Fitness Functions for Machine Programming Neural Programmer-Interpreters

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.811716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72b95ce5-6c64-4c98-b598-3ef3b90acdc6 · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

Learning Fitness Functions for Machine Programming Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.816072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 646448f3-108e-41ba-a44d-fbaa60d63e63 · outbound

This paper cites M., and El-Maleh, A.

Learning Fitness Functions for Machine Programming M., and El-Maleh, A

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.820421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a957a5b-a1bd-43c7-a86b-837099fbbaad · outbound

This paper cites Combinatorial Sketching for Finite Programs.

Learning Fitness Functions for Machine Programming Combinatorial Sketching for Finite Programs

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.824784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 031e5f40-abd5-4fa1-bfc9-33d674176c04 · outbound

This paper cites Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning.

Learning Fitness Functions for Machine Programming Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-14T11:40:46.830350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60917c86-181b-4661-bdff-f73472902ba3 · outbound

This paper cites Global Optimization Algorithms-Theory and Application.

Learning Fitness Functions for Machine Programming Global Optimization Algorithms-Theory and Application

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.615141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a23b8325-fe20-4d33-bd2b-1a7160b8c3c5 · outbound

This paper cites and Wolf, L.

Learning Fitness Functions for Machine Programming and Wolf, L

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:40:47.601445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7f295c97-eb50-4e9b-9072-c12b0c3af189 · outbound

This paper cites Automatic Program Synthesis of Long Programs with a Learned Garbage Collector.

Learning Fitness Functions for Machine Programming Automatic Program Synthesis of Long Programs with a Learned Garbage Collector

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-14T11:40:46.935866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.