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Paper Citation Record · LEDGER

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing

As of 9 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2507.15889.

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

pith.paper-citation-record.v1
2507.15889 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:52:20.465698Z

measured 44 of 44 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

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52d7f40c-d976-48db-bf23-c1cda6721d02 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing , " * write output.state after.block = add.period write newline

Reference 1

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source=arxiv_source observed=2026-08-06T15:52:20.335566Z digest=sha256:795296b26ea0c6bf6f7e810d3894cf1bbbe486e41714514d2015ff7035de27e1

Observation 27b8233b-fa97-43ae-8e88-d17de0d1ab88 · outbound

This paper cites write newline.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing write newline

Reference 2

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source=arxiv_source observed=2026-08-06T15:52:20.339891Z digest=sha256:929d1e12ef794098915c32d417bb7fbfc421219f3af51f0b84f1a929c5abb962

Observation bd103e42-6e6f-47aa-8f24-278444eb4e35 · outbound

This paper cites Program Synthesis with Large Language Models.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Program Synthesis with Large Language Models

Reference 3

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source=arxiv_source observed=2026-08-06T15:52:20.342894Z digest=sha256:7e5a647091e4355feb5a40690c3051db12f29f9a8e4c14347a4cadbe6a73253c

Observation 0870eef8-1ed0-4ab5-9e7d-05d56736e55b · outbound

This paper cites an unresolved cited work.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Unresolved cited work

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.345769Z digest=sha256:6d95ab7572b592cd4ee73da6325df6b400249d2696776dbeadf8688e23f31fa5

Observation 9aad61dc-e105-4092-8c94-29235892ddde · outbound

This paper cites an unresolved cited work.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Unresolved cited work

Reference 5

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metadata mismatch
raw_fallback, observed 2026-08-06T15:52:21.086921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.348329Z digest=sha256:121e55722930df616faa05ee06871f1c9e2899b733669076fb9f3bd851894d7c

Observation 27047d3d-09ca-44d5-9f08-171300b1c924 · outbound

This paper cites Biermann.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Biermann

Reference 6

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doi, observed 2026-08-06T15:52:20.573675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.350857Z digest=sha256:790961c68c51fe316e77a9f5ef0c48a56a84e25eddbb0c4661b4ac10f90a17bd

Observation a5eb7ef7-25cc-48c9-b3b4-4433e0310f3b · outbound

This paper cites an unresolved cited work.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.353802Z digest=sha256:57add8133ef2fb3cf98068818be5d1b37ebaf7a3ec82f0e3f816a076fa59d2cf

Observation 2beb5fa8-f3e7-490b-be36-f55bb62cffb9 · outbound

This paper cites Language Models are Few-Shot Learners.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Language Models are Few-Shot Learners

Reference 8

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source=arxiv_source observed=2026-08-06T15:52:20.356719Z digest=sha256:8d65034bab65c68a479f91c4e8579572c7c071d6729762f8b169f30483ff9a0d

Observation c685b43b-37b2-4958-a33b-ba51977c10ff · outbound

This paper cites Improving Code Generation by Training with Natural Language Feedback.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Improving Code Generation by Training with Natural Language Feedback

Reference 9

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source=arxiv_source observed=2026-08-06T15:52:20.360202Z digest=sha256:2f958aa0c23c588656e6eff9ef8968048485ee552bf6052ebf3bfa3a47a17fd4

Observation 436f33ec-d1fb-4ab4-ad67-a2cfe21e54f0 · outbound

This paper cites CodeT: Code Generation with Generated Tests.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing CodeT: Code Generation with Generated Tests

Reference 10

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source=arxiv_source observed=2026-08-06T15:52:20.363044Z digest=sha256:38b76e052bfa5177fa990153985da70125bde99d7415df50a37508f0e0bed0c5

Observation 89c016f2-d6e4-41b1-92b1-f758ee721530 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Evaluating Large Language Models Trained on Code

Reference 11

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Observation c10945f4-a790-4c03-889e-7d169b71a3cb · outbound

This paper cites Teaching Large Language Models to Self-Debug.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Teaching Large Language Models to Self-Debug

Reference 12

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source=arxiv_source observed=2026-08-06T15:52:20.368668Z digest=sha256:b633681f115fa9614ff972ed1b707d7a72982ac1f5450cf06536fd88ede852e3

Observation 9fd21212-cbf7-484a-a04a-ff8e4d488df3 · outbound

This paper cites Simple and Controllable Music Generation.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Simple and Controllable Music Generation

Reference 13

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source=arxiv_source observed=2026-08-06T15:52:20.371618Z digest=sha256:32a51799110caf59cdd01e24105bfbc305b602ca1291c909a9bb184d4a75ba64

Observation 4a9d8b02-2b7f-41a9-a136-54d3df216654 · outbound

This paper cites an unresolved cited work.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.374561Z digest=sha256:e7a52cabf86d9a6a2bc5702b45f210fab9b22ca9f91517013066ee5496e47b70

Observation cf568f6e-db31-4816-8d69-b4efc8c55663 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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source=arxiv_source observed=2026-08-06T15:52:20.377342Z digest=sha256:812f4f0f873fd59b552c33e27d8c2003e07e71dcd199bab29ec00485118d27a1

Observation a71b43db-9516-41cc-848a-ac991f49a59e · outbound

This paper cites DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Reference 16

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source=arxiv_source observed=2026-08-06T15:52:20.380045Z digest=sha256:be2f8bc04dec5e6ce2c1c7e7f4ddb67e5e67460c2aacf4c64e6005a4137e979d

Observation 34e5f40c-3062-4bbf-869d-410a027c8de0 · outbound

This paper cites Goldberg.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Goldberg

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 798bfdb1-7dfc-44e7-aaf9-c5af8e1afa40 · outbound

This paper cites Textbooks Are All You Need.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Textbooks Are All You Need

Reference 18

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source=arxiv_source observed=2026-08-06T15:52:20.385734Z digest=sha256:40570622c0441d16bfecd654b5e639d7be6f0a9eb85397f9c36cc606ca91a3c6

Observation 381dc394-0dfa-4d4a-9df4-36bc6f7ef19e · outbound

This paper cites Language Models Can Teach Themselves to Program Better.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Language Models Can Teach Themselves to Program Better

Reference 19

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source=arxiv_source observed=2026-08-06T15:52:20.388469Z digest=sha256:235dfbfba95a65734913aaf95307888acac01e1c2b8e033cfe8a286c3d446b33

Observation b3cac4bf-af7e-4bf6-b0d9-a4de4278ad2c · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Measuring Coding Challenge Competence With APPS

Reference 20

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source=arxiv_source observed=2026-08-06T15:52:20.391309Z digest=sha256:ce6502c1c6bca4c8edd847c1d3f1c8a1fdcec643e82bff0bf9ea776b383ce728

Observation 0dc43251-ef1b-41c0-817e-53c3fc3a467d · outbound

This paper cites an unresolved cited work.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-06T15:52:20.394107Z digest=sha256:7b0aeec7391df71dbb382a68b7ccb5f002ac367cf3a160c08d1b6657247c70c3

Observation 8d28f462-46b7-4ad2-9599-a03b7db2edd7 · outbound

This paper cites CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Reference 22

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source=arxiv_source observed=2026-08-06T15:52:20.396986Z digest=sha256:37c019428f9ee059257cd8c390cffec7a5e1518154d4123148efbd00eabd5b2d

Observation eb5ffbf2-f366-4dc3-9952-fa26f19597e5 · outbound

This paper cites StarCoder: may the source be with you!.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing StarCoder: may the source be with you!

Reference 23

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source=arxiv_source observed=2026-08-06T15:52:20.399627Z digest=sha256:51ed7105cb6245cf50cded2a0b0ea15b1009a1309f09ffd1e97765c83cd80362

Observation ac57bb08-14e7-4187-9d06-9914f65c0e76 · outbound

This paper cites Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, and Oriol Vinyals.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Mankowitz, Esme Sutherland Robson, Pushmeet Kohli, Nando de Freitas, Koray Kavukcuoglu, and Oriol Vinyals

Reference 24

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source=arxiv_source observed=2026-08-06T15:52:20.402447Z digest=sha256:1b6cb74b03d6d22810754fcf092896d843de5d0406e954e58188cd0d3ad8c226

Observation 410df87a-1370-44be-a2a7-a39f93b1637b · outbound

This paper cites RLTF: Reinforcement Learning from Unit Test Feedback.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing RLTF: Reinforcement Learning from Unit Test Feedback

Reference 25

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source=arxiv_source observed=2026-08-06T15:52:20.405213Z digest=sha256:640c4178fa4449a9610f7bd38d28ab381e489e5d52a3e8e12102878cafbda2d0

Observation 19bfccee-5250-4535-90d4-284eb00e804a · outbound

This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Reference 26

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source=arxiv_source observed=2026-08-06T15:52:20.408231Z digest=sha256:e89e742fb64721827d292311ec8cd27985c6ec62c49679ca9e24762e8c53d033

Observation 02f4f2a9-0598-4365-a407-c056fdb14f1a · outbound

This paper cites CodeGen2: Lessons for Training LLMs on Programming and Natural Languages.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Reference 27

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source=arxiv_source observed=2026-08-06T15:52:20.410994Z digest=sha256:72c98a6cce24de656b4bafdb4c289c133b9413cda6e451acb9a622d63f406cf0

Observation 35b53b3e-8300-47c2-87a3-eb6eee1d6a10 · outbound

This paper cites Show Your Work: Scratchpads for Intermediate Computation with Language Models.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 28

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source=arxiv_source observed=2026-08-06T15:52:20.413733Z digest=sha256:1cda848136de856d4a4df21f72eae1c41cfd6f0c2cb076f80fbac55537bd3a33

Observation eda57aa0-43b2-4b46-8065-f2ffae79cd84 · outbound

This paper cites Is Self-Repair a Silver Bullet for Code Generation?.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Is Self-Repair a Silver Bullet for Code Generation?

Reference 29

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source=arxiv_source observed=2026-08-06T15:52:20.416719Z digest=sha256:062587b85feccc2ce36887a7bc7c81628c710551843ac921b248ad8702dd4ed4

Observation 4c302304-a43c-475b-bed0-21b9b169bc37 · outbound

This paper cites an unresolved cited work.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-06T15:52:21.107226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.419777Z digest=sha256:3280beead2d4582e0c1721289674a3f97afb443fbef93cbf33106c1cd6ce5469

Observation 4e86dcdf-513e-4d74-ad2e-7ef3876cb30f · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 31

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source=arxiv_source observed=2026-08-06T15:52:20.423644Z digest=sha256:b347e290450aa752446c9cba8b2dd0b069e30250346fe93f9b6fc0f0719cfed6

Observation 96d4cfed-bc62-4eac-b9dd-e7d618c5a976 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 32

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source=arxiv_source observed=2026-08-06T15:52:20.426502Z digest=sha256:e653891e9a4235924d92d7b814bda1ebd1160e4ff51dabdfacd0e6146909e7d4

Observation f3edf829-0174-4eb4-bcae-53081eeef046 · outbound

This paper cites Programming Puzzles.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Programming Puzzles

Reference 33

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local_arxiv, observed 2026-08-06T15:52:20.518014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.429265Z digest=sha256:e4949c38cfb9b2f73454bb75a4c576e52311803ba0cbefa2271aeec21ac66d0a

Observation 551ac974-8a10-411c-9ff3-6c4004af994c · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Fast Transformer Decoding: One Write-Head is All You Need

Reference 34

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source=arxiv_source observed=2026-08-06T15:52:20.432711Z digest=sha256:46dc6ac4df9f28cfe25ac35c942ff8095b5e58fbc4d68f180e0786329bbe7f32

Observation b94e44d0-cd79-4cb6-81e1-2f80ecefb0b1 · outbound

This paper cites Execution-based Code Generation using Deep Reinforcement Learning.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Execution-based Code Generation using Deep Reinforcement Learning

Reference 35

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source=arxiv_source observed=2026-08-06T15:52:20.435501Z digest=sha256:409114adcbf3db9ba48e4dee52b8e5de97e93fa23b762910af72ad895cc84f7a

Observation eae09c94-8728-4f7e-b07e-727400b284b8 · outbound

This paper cites Attention Is All You Need.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Attention Is All You Need

Reference 36

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source=arxiv_source observed=2026-08-06T15:52:20.438911Z digest=sha256:0840933ac0f30b729c436c680c211d05d6d6906a4121e93cf439bf29130e7b10

Observation a779724e-9c18-4c04-9e8f-94342a9cc476 · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 37

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source=arxiv_source observed=2026-08-06T15:52:20.442051Z digest=sha256:0f2e724e30611623059472f6ffaeccf52b65bb78f653c0cac4817be088450e53

Observation 7a3d02e1-f868-4459-99f5-604c2bd5d4cb · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 38

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no resolver link, observed 2026-08-06T15:52:20.444811Z

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source=arxiv_source observed=2026-08-06T15:52:20.444811Z digest=sha256:7b344219738687f5c72bcee1c62af0f05c1647ac02384ffce80c7c7a651b9f1c

Observation 8497354a-eb33-444a-bf43-c0b84779f08e · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Finetuned Language Models Are Zero-Shot Learners

Reference 39

Resolution
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no resolver link, observed 2026-08-06T15:52:20.447837Z

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source=arxiv_source observed=2026-08-06T15:52:20.447837Z digest=sha256:1307cbe121a97f3a6e9dd6de02f42827d4358b7ecf1a971f2d79ed845bf6eda3

Observation fd8a7477-b5d5-4917-b825-859ede32d3a8 · outbound

This paper cites Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:20.450575Z

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source=arxiv_source observed=2026-08-06T15:52:20.450575Z digest=sha256:627212692b9e70084a4913dccd7e0a1b7fd8014b3829d25248ad72a15c956fc9

Observation b968a3c6-2c11-4170-a7fa-977673a0b7ca · outbound

This paper cites STaR: Bootstrapping Reasoning With Reasoning.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing STaR: Bootstrapping Reasoning With Reasoning

Reference 41

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no resolver link, observed 2026-08-06T15:52:20.453572Z

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source=arxiv_source observed=2026-08-06T15:52:20.453572Z digest=sha256:08d235338ccadc3c1a312c159696cfc7afcb747bcca5644af5e80e76e11baa5f

Observation d70f0a3c-9be6-48e6-8db8-e4b8766e7551 · outbound

This paper cites Self-Edit: Fault-Aware Code Editor for Code Generation.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Self-Edit: Fault-Aware Code Editor for Code Generation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:20.459690Z

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source=arxiv_source observed=2026-08-06T15:52:20.459690Z digest=sha256:f8362513f887270994628408c1b7b00895c8042eb9de56add6a994787d798645

Observation 942d78b5-082f-423d-ae85-f221ca0daa65 · outbound

This paper cites Coder Reviewer Reranking for Code Generation.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Coder Reviewer Reranking for Code Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:20.462838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:52:20.462838Z digest=sha256:2ccd4eb22debc47a626168d941bb4a3769bd2fa19a4ba8fb9ee258855ee36f16

Observation 17e76bae-70d8-4e20-a76e-8839db8dfbf0 · outbound

This paper cites Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian.

Dr. Boot: Bootstrapping Program Synthesis Language Models to Perform Repairing Alice Li, Andrew Rice, Devon Rifkin, Shawn Simister, Ganesh Sittampalam, and Edward Aftandilian

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:52:20.465698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:52:20.465698Z digest=sha256:6d3283ba4ef0fed8f99ad6c177c06c5f6c93295a32704ecb3b27808fa6c05b86

Pith citing papers

No inbound Pith citation observations are available.