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Paper Citation Record · LEDGER

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.15948.

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

pith.paper-citation-record.v1
2607.15948 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:52:47.865085Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 482bec10-3fde-44b5-960a-60148b2bbf60 · outbound

This paper cites Program comprehension during software maintenance and evolution,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Program comprehension during software maintenance and evolution,

Reference 1

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source=pdf_text observed=2026-08-01T21:52:44.480829Z digest=sha256:4f53fbe7791f0b95e046bb0437fafd7822cb568914c2fb1943a3b61a8403acb6

Observation d06e49d2-b2c2-4892-93d2-310caa468b69 · outbound

This paper cites Measuring program comprehension: A large-scale field study with professionals,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Measuring program comprehension: A large-scale field study with professionals,

Reference 2

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source=pdf_text observed=2026-08-01T21:52:44.531500Z digest=sha256:48658c3c359bdf9bfcc2c4c3240019dadb5356becf5a6ff7a0b72955dbbba9f0

Observation a2fbaa0c-8809-41b3-b8f3-c714440e5029 · outbound

This paper cites On the compre- hension of program comprehension,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension On the compre- hension of program comprehension,

Reference 3

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source=pdf_text observed=2026-08-01T21:52:44.613953Z digest=sha256:6d7420766413ed95dc74ffc90806fe80256da0e79ffc6a1f313ed7c1fbd73215

Observation d723d278-0280-4941-b481-40f80b4c3f10 · outbound

This paper cites Information needs in collocated software development teams,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Information needs in collocated software development teams,

Reference 4

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source=pdf_text observed=2026-08-01T21:52:44.718877Z digest=sha256:31f105aaa876eced919bfa7a6a2f3068c9f2a179fe65db8f4c1a317f64301166

Observation 0151ca4c-709e-4ad3-8683-ddd5e57d3556 · outbound

This paper cites An exploratory study of how developers seek, relate, and collect relevant information during software maintenance tasks,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension An exploratory study of how developers seek, relate, and collect relevant information during software maintenance tasks,

Reference 5

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source=pdf_text observed=2026-08-01T21:52:44.831448Z digest=sha256:b4f153542fd9b25be200846e3b98591eb3f1c51aaba166b0e6b47fafeac72a5e

Observation 55e9ce6f-ddd7-464b-8e38-921584a00137 · outbound

This paper cites Maintaining mental models: a study of developer work habits,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Maintaining mental models: a study of developer work habits,

Reference 6

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Observation 37965da0-84a4-4337-b22b-d3e8f47e9860 · outbound

This paper cites An evidence- based study on the relationship of software engineering practices on code smells in python ml projects,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension An evidence- based study on the relationship of software engineering practices on code smells in python ml projects,

Reference 7

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Observation 75a879fe-7b45-451d-b96c-e7573b22c247 · outbound

This paper cites A human study of comprehension and code summariza- tion,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension A human study of comprehension and code summariza- tion,

Reference 8

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Observation 59a24ee7-1a5d-4ec5-bb88-d9f9fc23317c · outbound

This paper cites Using a behavioral theory of program comprehension in software engineering,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Using a behavioral theory of program comprehension in software engineering,

Reference 9

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source=pdf_text observed=2026-08-01T21:52:45.403523Z digest=sha256:8b4c0a96406b80c822f7a54e6e3753d7434cbaa75cf4b6208b827433b30d4529

Observation d2a35531-2941-48a3-b95f-315a756c2dc4 · outbound

This paper cites Do code and comments co- evolve? on the relation between source code and comment changes,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Do code and comments co- evolve? on the relation between source code and comment changes,

Reference 10

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source=pdf_text observed=2026-08-01T21:52:45.509529Z digest=sha256:d0ec9803552d172023d97d796f12ba0ee6c0eb3486f643c2ca6fbee4584728bf

Observation e444408d-2327-4090-8a53-1d02b1a6392a · outbound

This paper cites Measuring program comprehension: A large-scale field study with professionals,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Measuring program comprehension: A large-scale field study with professionals,

Reference 11

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no resolver link, observed 2026-08-01T21:52:45.626404Z

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Observation b607fb42-a978-4116-91bd-4cc1aff488c6 · outbound

This paper cites Using large language models to support software engineering documentation in waterfall life cycles: Are we there yet?.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Using large language models to support software engineering documentation in waterfall life cycles: Are we there yet?

Reference 12

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Observation 252465b0-3e7d-49c5-8a88-c14e5cef7c1e · outbound

This paper cites Using an llm to help with code understanding,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Using an llm to help with code understanding,

Reference 13

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source=pdf_text observed=2026-08-01T21:52:45.862747Z digest=sha256:d3f67f147219351ad404d2a36eae89600759b7c25689b545865e89da47ed80c5

Observation 172bca00-2aac-4d4e-9f42-da31d7b275a2 · outbound

This paper cites Ivie: Lightweight anchored explanations of just-generated code,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Ivie: Lightweight anchored explanations of just-generated code,

Reference 14

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source=pdf_text observed=2026-08-01T21:52:45.976472Z digest=sha256:2f971b5f7d1616ac3fb04256ea362cca84d7dfae3bc9463aceb68587152cd767

Observation 5ceb970f-cb16-4a13-bcc0-deac1509049b · outbound

This paper cites Towards a theory of the comprehension of computer programs,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Towards a theory of the comprehension of computer programs,

Reference 15

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source=pdf_text observed=2026-08-01T21:52:46.092031Z digest=sha256:fadf216d91cec33d9a5c7c6ee12215de313945ec04b32994f1dfece2e3790998

Observation d8c86c7a-c8f5-469e-9d4c-f07db8263f1c · outbound

This paper cites Empirical studies of programming knowl- edge,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Empirical studies of programming knowl- edge,

Reference 16

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Observation d6e88726-7d04-403c-9fdf-29575a0c7589 · outbound

This paper cites an unresolved cited work.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-01T21:52:46.348379Z digest=sha256:b3dd8255d339b5be5bd0083e4e13ae789beb2f8961d03a634ad67ce96a01a9ef

Observation efccea86-c347-42b8-91c2-ef8d4f996171 · outbound

This paper cites Boosting Theory-of-Mind Performance in Large Language Models via Prompting.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Boosting Theory-of-Mind Performance in Large Language Models via Prompting

Reference 18

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source=pdf_text observed=2026-08-01T21:52:46.465888Z digest=sha256:06ad2c74d4890ce30a8398c04c787ac0d9816460fd3f019eddd44edf8d6a97f4

Observation 880a64fe-6348-4047-b63d-efa718288fff · outbound

This paper cites Think twice: Perspective-taking improves large language models’ theory-of-mind ca- pabilities,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Think twice: Perspective-taking improves large language models’ theory-of-mind ca- pabilities,

Reference 19

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Observation c079a512-9dcf-4ada-8c88-70c710231897 · outbound

This paper cites Toward measuring prompt quality: A preliminary investigation on prompt smells,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Toward measuring prompt quality: A preliminary investigation on prompt smells,

Reference 20

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Observation 21b42c73-c222-4248-8853-6cbc2cc85f1c · outbound

This paper cites Unlocking code simplicity: The role of prompt patterns in managing llm code complexity,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Unlocking code simplicity: The role of prompt patterns in managing llm code complexity,

Reference 21

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Observation d8432c41-2290-45df-844c-935dd61f59a3 · outbound

This paper cites Do prompt patterns affect code quality? a first empirical assessment of chatgpt-generated code,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Do prompt patterns affect code quality? a first empirical assessment of chatgpt-generated code,

Reference 22

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source=pdf_text observed=2026-08-01T21:52:46.980782Z digest=sha256:a495c3fffad72aed0c3ade1111607c90bece5a630068041219789f744fb77f13

Observation ff2c5f4a-7df8-4681-bba9-f2ed3bb4e932 · outbound

This paper cites What you need is what you get: Theory of mind for an llm-based code understanding assistant,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension What you need is what you get: Theory of mind for an llm-based code understanding assistant,

Reference 23

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Observation cdd83d92-6029-40cb-801a-a458b2bfe508 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 24

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Observation 22e67c24-358d-4c8a-ae75-8a88a2115072 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 25

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Observation 858169ac-4519-483c-8f77-1d4073a19fa7 · outbound

This paper cites A complexity measure,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension A complexity measure,

Reference 26

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source=pdf_text observed=2026-08-01T21:52:47.509452Z digest=sha256:2ebba59273d1fdd3847a84c5ee0290746df698aec8fea51efcc0455455c1d9f4

Observation ea8a1106-db2a-44ad-80e4-ae8167a4c3ff · outbound

This paper cites Technology acceptance model: Tam,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Technology acceptance model: Tam,

Reference 27

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Observation 23dbb05d-3c93-4aa9-a4b4-f59d7c798001 · outbound

This paper cites Development of nasa-tlx (task load index): Results of empirical and theoretical research,.

TARS: A Theory-of-Mind Agent for Personalized In-IDE Code Comprehension Development of nasa-tlx (task load index): Results of empirical and theoretical research,

Reference 28

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Pith citing papers

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