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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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:c7ac1849c80c0b0a7339b014303e9291e3b59ea1e726175ada41ffd6929bda6e

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=sha256:458ee96c23944612073e4aa757d09b5545db658b22b335a788539be86c795b35

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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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 2026-08-07T06:34:17.273281+00:00.

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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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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 2026-08-07T06:34:17.273281+00:00.

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.350857Z digest=sha256:74654a25d3e0b76c64df08b5ab60cfac89eb889e004e7689cc3eaf82e8be6f0b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.353802Z digest=sha256:2236d8859e85cf9aa0fc7ba92d53135bf5c09d8654f82967f9c940f2cd62e11d

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=sha256:415b5e6f33191c7f6349c5cd985a2a293b42901c4bb2f8c64eb8a4e103181bf2

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:bf98bfcd5faca7430c927b16c9f0593e2f1f38fffeb184997a0d50f0b023c8ce

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:b6d2a022d14eaf246b9cb01e30d65c30757dba2a65da59d48844578ac7f187d2

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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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=sha256:0cddc3fe48d965553632c2ddceb4d01e8c2d3850c3320cf384712c55ec542e98

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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=sha256:06373910048a5db1d62f74b9fe285c708c620e01b27d5d2e3a9f00f4d2ebeb45

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=sha256:4de15222ed08f758a66bc8842b104b023f70c52666129e3785ed257570652463

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+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=sha256:4401b4de0117f5f4e0731aaf4e505353be46175ef6dfb55f482649ce1754c4ad

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:c8dda40d63859e6876e59133f7a3a6227551de642e16fc8f49bba378d8fdcf62

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:c0d4ca4f8c574fc017f4c0de997c96c0be271a6bc7224ad8b7acbc8ca92cf993

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=sha256:5f73dcf0e5806b3abfe18ca52354b4b6f5bfbcedd7e95b6b6cbc717d467b4594

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=sha256:25d67c6e70100308fabb22af514395769aaf050032bf761afdd16b23d1201f83

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:be3e74ae2ddf0b80f4add8f0b9854d0a58c9aa45839ff5cfb6fb9798d19053e5

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=sha256:86dfe42ede335337322457ff4bfa36f335bce59cb5f88abfc5bf41ec463ee7ec

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:f0693850c24ab1cb1f16e7f715af524b6cc789a2045c144f668423e5712bea43

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:c66b04070f9c06735a20fe4227d9b654f323b0e8b3cf1b899d752673ad7223de

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=sha256:0038f52e555ab4f0ae1daa28af6f589534da313849d94e77b97508581b7f3f20

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=sha256:797a211e03e55016f2f82ca2b6de8763f4797be438cb2c184a3b69902285c6d1

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:e57af0c7a9be80689f2243a217468062d3d2673d1af56ce47b30296dba5b621b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.419777Z digest=sha256:5c6bd941384f209797cf1fa0712133bad57548c00f5cc3f1d0d2376bfc2cc26c

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=sha256:559b4125db5dd67758a3781ba7032129cfc05354493f8bd8bdf2d218022ada8d

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=sha256:0fedac7f083fe16e5826feeb049d5031dafeeab0a2490a747bd59db6f77260a9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T15:52:20.429265Z digest=sha256:f1c4d5c2edf81abf8124150fdab5a6f832dc0b85dbcd218677d2aa0f98138a8d

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:c2d5b93b5e12b8517d994503a8133b6576a5fa8cb1dffb4b83b9363b5824fc68

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=sha256:9f08d154e8874b0e33f62ab47e772a4cf6ea0c33f9dfa7cc0901e2c6e0ddc864

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:e7ae4dac5f95907f1395cb5bdba6501693d9c02b0ac262f3d3432611644ab129

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:e99bc3c82dc57fad86e677ff2983c254ae2f56bc1e9326432cd0c8bfa1612a3b

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=sha256:0eaa13f802e0ed6e6779cf46abe6cf12fbf6d960f92edaf80c7a1b9ca490542e

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
unresolved
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=sha256:9c05d47332bfcba8344cc75cecc9897e4cfd1a4c9fcc086d8e6564c3d09593b4

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=sha256:3b8cce6f2cd36390c50a6d6edc116a551801439a15f497f2b51f8b7918b82747

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=sha256:8e1672a25c22a357e02b16d71358fc7879ea050f560c6380348f22936eeab3d9

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

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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:a15302038d5d3a06973628d8dc77d8dfd97ec6fa4f2952328c047c17a5b2278c

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

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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=sha256:0116d21e61121048c0d62f03fa68a44b88c75daf81607b1214b0b42cff262b70

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:52:20.465698Z digest=sha256:84a7d76359675214ce69831470060917b768b9a09f78cbb30240a8d697a191d5

Pith citing papers

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