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Paper Citation Record · LEDGER

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts

As of 7 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.10411.

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

pith.paper-citation-record.v1
2607.10411 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:57:56.953101Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3f7f01a5-c56b-47ff-85c4-6a50de7a0bc4 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:194128b4c351b367072fc8589f8f769030a66aa5c765172ebc3ae9da9504eb3e

Observation f2773366-a525-461a-a9f2-55950ec6a12c · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:cb1a5436bc8f199408ebf259284cee7d213117c1cc42999433a69cfb0ff33e0e

Observation ae2ed376-0548-444e-ac8f-5dc9b4868149 · outbound

This paper cites InProceedings of the fourteenth conference on computational natural language learning–Shared task.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts InProceedings of the fourteenth conference on computational natural language learning–Shared task

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:27ce2dda7945cffe4507cf5d0d2e11e126c622a614a753016c4aafece3e5280d

Observation 33d02caa-4a73-428f-8a88-97ab8ca81a10 · outbound

This paper cites 1999.Guide books(1999).

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts 1999.Guide books(1999)

Reference 4

Resolution
verified exact
doi, observed 2026-07-14T12:00:26.993921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:b14a5dc207102d18549d352d5968a6c3180cc706d88a5000cb006178eacbebc7

Observation 8003795f-c4c2-4045-8004-67691e2307a2 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-14T12:00:26.984013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:9923207911dd7fdc0a28d7f6bee88c5954eab7f215dafacfa8af16662882ecaa

Observation 59ebe0d7-78f2-4be7-8a9f-4cd10c8a4fc9 · outbound

This paper cites The Llama 3 Herd of Models.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:3c6692f75aaa47cf1e4f91fb70860c1dc6e1a112c90e1d4a65aafe913bf88d4a

Observation 7b928acf-0f2b-423f-89e5-3ce358e0f1d3 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:507ac0185095bc9cce51ccd3b9cfa3f1c9bace3d295a8b02183c3c4d3bb30864

Observation 9d272209-02e1-44f9-9e18-52b3b2a6a3ff · outbound

This paper cites Qwen2.5-Coder Technical Report.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Qwen2.5-Coder Technical Report

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:2894dd7f24dcb4d8e99402cbb08e750640de7d4cd0c16f967b8969b51041a47d

Observation 781f8aec-9fab-48cf-870d-ea706d776f59 · outbound

This paper cites CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:18f25ff9db268716a2247ca72bdc5feeb706a7f406adda0c6c58c491b28727e6

Observation 477eefc8-4777-450e-bf42-a5f9784208a3 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:2a63cfa90a94e94ddef7503fa8b835d8538fc0dcd431fbe5633d11ab048c01f2

Observation 2c4539ba-e69f-48a2-aa17-e73e5c1a41cc · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:01f9b7b8bb635c119d6e2f6bcebc16a6d8072dc71f3bc68a821cca1a80903efb

Observation d099d41a-69ec-4713-8e4a-e9bbdfc59f90 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:5f4f77901fc8e96c645b08b3261103fb1087682510867a1f4a9379e228fd32f6

Observation d8001267-18fa-4491-bfd6-126315d9045f · outbound

This paper cites ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:c245c6e9494d1af168a996d0cf40a523960e41a2eaacb2010d41730e56c35e96

Observation 6e1b340c-ebf5-4c64-ab7b-e8756dda5178 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:c442a8fcf37593a386a5273838e8e69424fdf1c358d45c6563fd7f938115b3b8

Observation 81f70a3b-f540-48e7-8192-07038eb382ea · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:11df02b93c6984f4a72cd68c192bd45c5e04881fe413471bdb9014c09111c611

Observation cf29aa54-33bc-4160-a771-4995539eb7a8 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:1a03dbdcf80add637673e12ff71fa3172c172e077963ea72c3ae7af280fd1bd0

Observation c91ab388-4f3d-49ae-8a5b-ecda5e0ea9db · outbound

This paper cites Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Benchmarking LLM for Code Smells Detection: OpenAI GPT-4.0 vs DeepSeek-V3

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:179e9f86f576b50b00ac3357d080cd7ca7a86ed2e4a749f8d07cd7d53585a669

Observation 8326ffab-675f-4cb7-a108-01bdd7be8f79 · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Towards Understanding Sycophancy in Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:c28c36c6f543b2e37ab4191835645a8456698138013be2e78171bb8d2d46857a

Observation 4fc51d07-503e-430f-9da0-969845333dee · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:41f6165a696b4491352331983fa318e2424dd588a3a64496a4ad6e80fdca03b5

Observation bcaacbbf-324d-421d-9627-b15b551a1f8e · outbound

This paper cites 2015.Software Engineering, 10th Edition.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts 2015.Software Engineering, 10th Edition

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:54ded4c780a2ec2f5e8f1f30e52e4e3529c9218666b1304001bd831442847a7d

Observation f5f580b7-96f8-4792-ac36-823f3b3636b1 · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:bc0071723fcc36bda4599741aa2697bdd78b937438bb18399964a577b147bc4a

Observation dbbcc417-5381-4a8d-a19e-dac349784ffd · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:03023222c02ebcb067970333110d77ae2e4c16aade5f2450a25086be93d208bd

Observation f6757f47-516f-48f8-94ce-64d086b4c2cc · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:f21778714ade25765b0e6fcd08d131abd7b67236a29ab1a679eb4e2fe5048810

Observation 377ce384-314d-4ba0-b0c4-92dd30b7405f · outbound

This paper cites an unresolved cited work.

Mitigating LLM Sycophancy in Code Smell Detection Using Evidence-Guided Reasoning Prompts Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-14T11:57:56.953101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:04292094554868dcd5221d6dba608f5cc829409ffd845384d328977f033accd5

Pith citing papers

No inbound Pith citation observations are available.