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Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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=sha256:58ea28d427c3a35e6ac8264be0ca4b4e164be8bf0eafa70f74596b56a0c52f77

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=sha256:03c4e73c29dbc033d7e89630432a442317c8ccf12cd3e5df6cebc01411941599

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=sha256:7502077332c78c94a26ad2c3453eeeeef81ad53fc5796f39a564b303fc4f61e2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:d724d13ab248832580707c1e90f712f7db25eb83dcd65505d308b2aad7af1f60

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-14T11:57:56.953101Z digest=sha256:42ec1103214bb03875399524b6a5f2c2f14705c28d1441e9a0948200f3744072

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=sha256:918f7e5ba37eb1ecf9c133b441227e051d56b10e924a50edbd407748fd7b0435

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:e640ac852f421c43d22afcde089ce297c3005f88615e1e80eb11b739faa89f12

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=sha256:950ec43db17894a1a4688fdfe92f10d397eaf4047d10d5753ea3953aca1a654d

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=sha256:74b0b1ddeeda999e1a226681535aa0961866b1436eed2883e7fc5649582ef008

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:f0747eef2f02d3cc80ea07b3e62c2a59d9540ad3fa1bfbbb91fe079652cbd11e

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=sha256:18138b6320397e61ce681f167586d34589a4eaad0cffd8927f8ae3e4d4815d34

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=sha256:2f49cbab811210f329faf20648bd402df86478934a2219bcc130ad2f7485eb9c

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=sha256:41b892897e9443ea4b5e55390d3769c1b93279754b5e78b5e278223cf41d9a64

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=sha256:78bb5ba43b61198a0758f51973864c53642f362b5cea7672f6967750d7732f1e

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:dbd47bffeb4638e98ce8f2ddf442ed45607fc58e2749e2d0a40fc7d619d2c7e2

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=sha256:11945d62ef61d33fea8201144de697a816714db7c475b1a208436eb82c692d5b

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=sha256:6f36a0531afe6cfa9324233067787cd1279ab694bde96d505367e176aa3038ca

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:dc467b2edc29201f4914da7272708dc763437678948a87cd3668f3aa679a4bdf

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=sha256:1bae8456b0bfeb149451fafa1fe44fefd3da7af8fccc40d3286b07c86240ff2d

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=sha256:4b0d2d09de9cad9b6f12ce02db4e89b9f62a6e15094c2c6cb065d7634c687a39

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:eedb26fe3444170b9d9a2f7e2e4f80d55e5157f0942ba881107b9a02a88d75ba

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=sha256:9fd88655477803b0ab2f5de01c6846694c67ecc9e59692f6ae0217a31bbb22b7

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=sha256:2fe67ff3f20c9c0a3473cb00fd097a324de99a24c229ebd24afdaae8ee3381f5

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=sha256:395c279e57c1ebd425e5c63ac196e5733ca0c4643947a4211bbe4a532801b4b0

Pith citing papers

No inbound Pith citation observations are available.