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Paper Citation Record · LEDGER

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.21211.

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

pith.paper-citation-record.v1
2506.21211 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:36:15.782162Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy22
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ed40406-0e53-42fc-8107-95f75c07f61e · outbound

This paper cites A systematic literature review on large language models for automated program repair,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models A systematic literature review on large language models for automated program repair,

Reference 1

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Observation f490f2ae-dee8-4f2e-97d6-7d8cc40ef114 · outbound

This paper cites Atomic Fact Decomposition Helps Attributed Question Answering.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Atomic Fact Decomposition Helps Attributed Question Answering

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 3c6e5f97-0ebc-496e-a924-df5e226afdb8 · outbound

This paper cites Nmt vs mlm: Which is the best paradigm for apr?.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Nmt vs mlm: Which is the best paradigm for apr?

Reference 3

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Source-reported events for the cited work

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Observation d9e8c19e-8f53-4348-9e83-d54471e9d820 · outbound

This paper cites Rap-gen: Retrieval- augmented patch generation with codet5 for automatic program repair,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Rap-gen: Retrieval- augmented patch generation with codet5 for automatic program repair,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 04866a94-279a-4763-86d8-e49df1ca079c · outbound

This paper cites Applying codebert for automated pro- gram repair of java simple bugs,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Applying codebert for automated pro- gram repair of java simple bugs,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4a8d8d06-cc44-4254-8ee2-af6d32c961dd · outbound

This paper cites CodeT5+: Open code large language models for code understanding and generation,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models CodeT5+: Open code large language models for code understanding and generation,

Reference 6

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Source-reported events for the cited work

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Observation d639a6d7-44df-4043-94bb-25876f2dbe3f · outbound

This paper cites CodeT5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models CodeT5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7863f5ea-6e7c-4f92-8da3-eaa4a4b38f84 · outbound

This paper cites CodeBERT: A pre-trained model for programming and natural languages,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models CodeBERT: A pre-trained model for programming and natural languages,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5c9fd7a3-43a6-4737-8dd8-15732791a78f · outbound

This paper cites Less training, more repairing please: revisiting automated program repair via zero-shot learning,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Less training, more repairing please: revisiting automated program repair via zero-shot learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3a7ec488-b126-4854-9e76-08c72cef0255 · outbound

This paper cites Gamma: Revisiting template-based automated program repair via mask predic- tion,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Gamma: Revisiting template-based automated program repair via mask predic- tion,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b81d3864-6394-4390-9a21-bb4de65bdedc · outbound

This paper cites Automated program repair via conversation: Fixing 162 out of 337 bugs for 0.42 each using chatgpt,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Automated program repair via conversation: Fixing 162 out of 337 bugs for 0.42 each using chatgpt,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2501d07f-71cb-4667-8275-cfc2e763b7c5 · outbound

This paper cites Using tree-of-thought prompting to boost chatgpt’s reason- ing,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Using tree-of-thought prompting to boost chatgpt’s reason- ing,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ec468004-9dd4-471f-8941-b97d97d3555b · outbound

This paper cites Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Plan-and-solve prompting: Improving zero-shot chain-of-thought reasoning by large language models,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e1c1e0ad-6e37-4d76-a91f-6902062bfa66 · outbound

This paper cites Large language models as analogical reasoners,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Large language models as analogical reasoners,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 48a2d2bb-1045-4b3b-bb0b-d50a0ccb371b · outbound

This paper cites Search-based efficient automated program repair using mutation and fault localization,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Search-based efficient automated program repair using mutation and fault localization,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b3c2c1c5-998c-4e47-ab73-78e13bb39db1 · outbound

This paper cites Speeding up constraint-based program repair using a search-based technique,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Speeding up constraint-based program repair using a search-based technique,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 402bf2a7-65d0-4828-83e0-035049b44429 · outbound

This paper cites Tbar: Revisiting template-based automated program repair,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Tbar: Revisiting template-based automated program repair,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6f8b275d-387d-44c6-ae62-cd8b82d4c069 · outbound

This paper cites Dear: A novel deep learning-based approach for automated program repair,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Dear: A novel deep learning-based approach for automated program repair,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 542144b4-6dab-4a15-9e25-94c31ef3c229 · outbound

This paper cites Conversational Automated Program Repair.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Conversational Automated Program Repair

Reference 19

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Source-reported events for the cited work

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Observation c910974f-af67-45ee-a9f1-5464339811f2 · outbound

This paper cites Large language models-guided dynamic adaptation for temporal knowledge graph reasoning,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Large language models-guided dynamic adaptation for temporal knowledge graph reasoning,

Reference 20

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Observation 587071dd-e97d-415b-ab96-d85c2af2d045 · outbound

This paper cites Made: Multicurvature adaptive embedding for temporal knowledge graph completion,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Made: Multicurvature adaptive embedding for temporal knowledge graph completion,

Reference 21

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Source-reported events for the cited work

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Observation 0f9a839c-2c8e-4c13-978b-7459264ab612 · outbound

This paper cites Ime: Integrating multi-curvature shared and specific embedding for temporal knowledge graph completion,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Ime: Integrating multi-curvature shared and specific embedding for temporal knowledge graph completion,

Reference 22

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Source-reported events for the cited work

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Observation 421477dd-f45c-4b50-aa25-85af16e442e9 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Evaluating Large Language Models Trained on Code

Reference 23

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Source-reported events for the cited work

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Observation d2bc9946-b002-41d5-92b2-6f7f72739b07 · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models InCoder: A Generative Model for Code Infilling and Synthesis

Reference 24

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Unavailable: canonical work link unavailable.

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Observation 987ec0b2-4a8d-496e-bb66-48929518873b · outbound

This paper cites A systematic evaluation of large language models of code,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models A systematic evaluation of large language models of code,

Reference 25

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Source-reported events for the cited work

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Observation 32fe3791-0417-4116-87f6-fa2444cf755a · outbound

This paper cites Prompt programming for large language models: Beyond the few-shot paradigm,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Prompt programming for large language models: Beyond the few-shot paradigm,

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1652524a-c030-40fc-9f1d-d308bb7779f8 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bfc164cb-9e7b-4811-86cc-8c80cb0b7e58 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Chain-of-thought prompting elicits reasoning in large language models,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13a5f037-fa3b-4c3b-ac93-8a06f830b6e7 · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Large lan- guage models are zero-shot reasoners,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 51f2de1a-1c85-4ebd-aa86-338314b37c6f · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Self-consistency improves chain of thought reasoning in language models,

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ebb3737-8a47-448e-a614-2321e9de4401 · outbound

This paper cites Better patching using llm prompting, via self-consistency,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Better patching using llm prompting, via self-consistency,

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T22:36:16.383919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a3cc0672-2a6e-44d5-8374-a733f7858ee1 · outbound

This paper cites An empirical study on learning bug-fixing patches in the wild via neural machine translation,.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models An empirical study on learning bug-fixing patches in the wild via neural machine translation,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:36:16.290734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ab3dd0f5-42ac-4565-aaef-157969e149f9 · outbound

This paper cites Natgen: generative pre-training by “naturalizing.

$T^3$: Multi-level Tree-based Automatic Program Repair with Large Language Models Natgen: generative pre-training by “naturalizing

Reference 33

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raw_fallback, observed 2026-08-06T22:36:16.148602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.