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Paper Citation Record · LEDGER

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production

As of 13 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.08069.

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

pith.paper-citation-record.v1
2412.08069 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:19:43.726277Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

  • verified exact1
  • verified fuzzy5
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2a6a206-ff50-48ab-9d83-713935c14835 · outbound

This paper cites an unresolved cited work.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:19:44.063840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.614481Z digest=sha256:9b2f05b7a1a280417de81b077926fad31e9390bf0bae4076c625bfddd37d8fa3

Observation 35b4b718-1ec6-4712-86a1-07ee05fbc7d8 · outbound

This paper cites Github copilot,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Github copilot,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.619369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.619369Z digest=sha256:f121637c59261504e41dea09bfdea99b0e9afd890c54d25b9a9414e9c460f4f8

Observation a3af6bed-20c5-4bf9-903b-e3e0946e348a · outbound

This paper cites Marscode,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Marscode,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.623356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.623356Z digest=sha256:a2a11b022594625bc6bed646cdf83a6572dcd46e9f2296e2480d5396cf1ab747

Observation 613a0c86-73a6-4abe-9f43-c454846ffac0 · outbound

This paper cites Codeium,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Codeium,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.627578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.627578Z digest=sha256:5ab2ec292ae49abd73b3cefb70064d7e0b638347726fd15f015112479412442e

Observation 37bfd744-6dad-4e42-9fd0-31a3c3b9c755 · outbound

This paper cites MarsCode Agent: AI-native Automated Bug Fixing.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production MarsCode Agent: AI-native Automated Bug Fixing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.631836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.631836Z digest=sha256:fdc93dbe89ed164aebfcbdef863d8dd2b1ee1c0e7109dcb3a1d21e3fed242748

Observation 56f558b7-c49f-4d5d-8495-bd74e21e61fa · outbound

This paper cites Autocoderover: Autonomous program improvement,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Autocoderover: Autonomous program improvement,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.636195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.636195Z digest=sha256:386099c4898167e224818f1fe02fa2b42f2a47de2844138e2768cacc05254827

Observation 312e0f7e-4715-4286-bcac-71aea11f3511 · outbound

This paper cites Agentless: Demystifying LLM-based Software Engineering Agents.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Agentless: Demystifying LLM-based Software Engineering Agents

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.640729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.640729Z digest=sha256:f31606edb9a9a931c5b5335bcbe166bf52bc4fc42189b9c03465666e60443eba

Observation d2139cd4-b4f6-4aec-80d3-007e1aa2a728 · outbound

This paper cites Experiences from using code explanations generated by large language models in a web software development e-book,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Experiences from using code explanations generated by large language models in a web software development e-book,

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.645066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.645066Z digest=sha256:d9b2f988d97d7a35d749bfa6c1315cc390452df8b14fabc0bc82f7fdf5537d55

Observation e774ca97-a0dc-452c-a957-440d798180bc · outbound

This paper cites How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.649035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.649035Z digest=sha256:ab9b37d7d08497e46c3b3e38f03eb83dcfc780f049d3680141d64a7a4cc7e9b4

Observation 1869237a-3d46-4c66-8155-e2a41f030e1a · outbound

This paper cites Learning to construct better mutation faults,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Learning to construct better mutation faults,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:44.005440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.653169Z digest=sha256:4445b24b99f4db4c449693b2c4e6866dfd37d829572b6f0d46edf703cc96de15

Observation 0a2ee800-7872-4cbe-b30a-7e4f32898e92 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.657498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.657498Z digest=sha256:ad2011353ea7c47be9059d03fcadc9e9f2e7ded62e2c7556e4f7214d3543756d

Observation 354dabc3-25d3-4869-bc9a-7db1f07559ca · outbound

This paper cites CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.661772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.661772Z digest=sha256:bc2ef98dccbf087cb5da700d98e71b0d37094378826bd0cc38aacf751cd619aa

Observation 4f0acaa4-7105-4723-90bb-7739810fd144 · outbound

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

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production InCoder: A Generative Model for Code Infilling and Synthesis

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.665912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.665912Z digest=sha256:88814774d2ad3b741af69beb0d2c9133da722494fa70461d1b71d6ff85b05e80

Observation 7da751c3-9e1d-4d2a-881a-9c5644925c91 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Evaluating Large Language Models Trained on Code

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.669965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.669965Z digest=sha256:0b56263aebc9e3256d1d5c8c72af51b5345c11ba3696dd8a280e3e5883b02258

Observation f7bed7ec-22fa-4184-8f0f-d7c9ed4fdf62 · outbound

This paper cites Magicoder: Em- powering code generation with oss-instruct,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Magicoder: Em- powering code generation with oss-instruct,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.674113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.674113Z digest=sha256:2a06c580b7fe00d78566798df77c2b7b3e002e10d83680576059c7ea042fb50a

Observation 596f5bdd-01c6-4b3e-ade8-310aa34b8dff · outbound

This paper cites Mftcoder: Boosting code llms with multitask fine-tuning,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Mftcoder: Boosting code llms with multitask fine-tuning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:43.981847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.677889Z digest=sha256:54385ad5097e4bd23cae0c4cd3002fbf3b3cd59ba9694ee1d29eff944a7a98f3

Observation f3bdab98-42ff-423f-b0cd-066e9ebfed15 · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Large Language Models for Data Annotation and Synthesis: A Survey

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.681441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.681441Z digest=sha256:1c54c4871c8d85c130950db5be36e2664b77c657dcce91ec74110a72296dc29f

Observation 3e456c43-30e5-46d5-ae76-82ea8e8ec5b6 · outbound

This paper cites Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Leveraging Large Language Models (LLMs) to Support Collaborative Human-AI Online Risk Data Annotation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:19:43.808809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.685492Z digest=sha256:51d48027dc8cc26c1c2ff3ac148047ea46a8216abe845e6a2e76ed9274049d6e

Observation 3e4c95e2-f215-41a9-94de-71b17a244835 · outbound

This paper cites Enhancing human annotation: Leveraging large language models and efficient batch processing,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Enhancing human annotation: Leveraging large language models and efficient batch processing,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:43.966071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.689360Z digest=sha256:ea988f79f3f61d850fe023e7b946164440ad012750fc668003bc0907b60bbf6e

Observation d89f6192-f65e-468e-8b59-dfd8ad5c1d63 · outbound

This paper cites Large language models as annotators: A preliminary evaluation for annotating low-resource language content,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Large language models as annotators: A preliminary evaluation for annotating low-resource language content,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:43.953152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.693270Z digest=sha256:50911da84ef27f64b3f2eb82bb8cf9be49bd7531363f54e4da9cc2bb87ad742f

Observation c302be5d-2fa2-4097-ac08-4c0d417e545d · outbound

This paper cites Fine-tuning large language models to improve accuracy and comprehensibility of automated code review,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Fine-tuning large language models to improve accuracy and comprehensibility of automated code review,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:43.939407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T18:19:43.697295Z digest=sha256:b725a92ac04e7a69161f2e2a60edc7873414a7b8f26058a8561a8a30631c7d34

Observation 7289f18a-ab76-48bd-b2b0-2e9725144f19 · outbound

This paper cites Training language models to follow instructions with human feedback,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Training language models to follow instructions with human feedback,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.701280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.701280Z digest=sha256:ecdc53b3a72d4fa6cdd01b55b3107343d2e4ff6ce2a61783f84cb9bc54f19381

Observation 4b331406-1934-4b55-a40e-6fef340e27f1 · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.705531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.705531Z digest=sha256:68b56df1ac750e8e5922e5a78018803e132f0d8a2e52be01c0e40314eccce7f2

Observation 041ed324-8481-4799-b295-9c03658aaea4 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.710688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.710688Z digest=sha256:dd80f6182da00e7e4ad7fee305a4deb84acceeb478077ae8ca9dd8d11f2e2dba

Observation 5b031cd7-09a4-49df-b89f-61917b77ae70 · outbound

This paper cites Starcoder 2 and the stack v2: The next generation,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Starcoder 2 and the stack v2: The next generation,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.714611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.714611Z digest=sha256:82752e86a27a2bb162046e74c24c9388b02eb7b535c2d5d3ccb546ee6db674a3

Observation 238a6e9d-fc4a-49c8-a83d-c40f645908ab · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.718312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.718312Z digest=sha256:278cdef0578b4fc27215c51d8d2cd936b988d42cf0c1f8101fd5158b1e77246e

Observation 2c34e1a2-c478-472f-9dd6-4871c8f26432 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.722527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.722527Z digest=sha256:95a7e8262d467b9c8f50e42db243efd8c94664e180c34dc20c884e888c083ad8

Observation 25a5fe30-fc02-47ee-9b26-71241a0f0a19 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T18:19:43.726277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:19:43.726277Z digest=sha256:15ebdc0010334df4d3bdb97992694786da81133001f1209a2a11f86f6c54a84f

Pith citing papers

No inbound Pith citation observations are available.