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Paper Citation Record · LEDGER

LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2306.14924.

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

pith.paper-citation-record.v1
2306.14924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:48.113836Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-23T22:13:30.184800Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 07bfca3c-a53a-41b7-a127-787dd1a63d43 · inbound

Effects of Collaboration on the Performance of Interactive Theme Discovery Systems cites this paper.

Effects of Collaboration on the Performance of Interactive Theme Discovery Systems LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:13:30.186766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T22:11:03.601086Z digest=sha256:94cf92085c1b470905a58130fb604f96c2b076be3538e4adfbf6734853ae1dca

Observation 34de7980-06a1-47ac-aaab-85b230730d51 · inbound

Uncovering the Internet's Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Reddit cites this paper.

Uncovering the Internet's Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Reddit LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:53:20.820513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T18:52:02.691912Z digest=sha256:1171ca48f34f02d8d0922e1d0b930895cc5dc31c8df285d971b1458ecc7f3da1

Observation 9cb5cea0-0bda-46b0-9a74-86f487732a44 · inbound

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.

Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 170

Resolution
unresolved
no resolver link, observed 2026-08-07T14:15:48.113836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:15:48.113836Z digest=sha256:60f7cbdd31507b53cad88e51ebd41b1ae591d4f1e1862e1eb1e13ca2d2bd7d90

Observation 3a995a8f-49de-4acd-98d3-a2d90e5c2874 · inbound

Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas cites this paper.

Simulating Ethics: Using LLM Debate Panels to Model Deliberation on Medical Dilemmas LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:31.728075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:43:31.728075Z digest=sha256:d633252992351a0a7687cddb5c0623a67c7eb8062decb6e73d52b6c0f311ac66

Observation c8ecb7a4-1bdb-4242-8599-1271f87ff4f9 · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:45:11.486260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:11.486260Z digest=sha256:48b7d317e69dcd0701a018414a36569cf1d8481c49f3d6ea83fde20d4b5f09c5

Observation a289ab77-96ca-4012-98f6-d91ee81d760d · inbound

The Role of Partisan Culture in Mental Health Language Online cites this paper.

The Role of Partisan Culture in Mental Health Language Online LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T22:53:25.821530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:53:25.821530Z digest=sha256:151d5873692dc55b6742f4459baa95429b8f0c4bb313c680ca811ffc7fcd21e6

Observation 52d02abb-a014-46db-afe4-3872c28d0550 · inbound

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding cites this paper.

Temperature and Persona Shape LLM Agent Consensus With Minimal Accuracy Gains in Qualitative Coding LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:07:01.980701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T04:03:29.765482Z digest=sha256:f96f89f3f1ab37c57e231d20e3926b3a480cd065c4bb0e0ded99991d39ac5b98

Observation b4c6ad5a-a166-4d52-896f-f909cf4fcc1e · inbound

Scout: Leveraging Large Language Models for Rapid Digital Evidence Discovery cites this paper.

Scout: Leveraging Large Language Models for Rapid Digital Evidence Discovery LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T14:34:52.597789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:34:52.597789Z digest=sha256:7c9796b8d36ba062f01eea0031446a85e572df22b3222f7277094e73e0e9f7bd

Observation 9c4aaedb-50a5-4512-bc39-54547661f011 · inbound

A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks cites this paper.

A Confidence-Diversity Framework for Calibrating AI Judgement in Accessible Qualitative Coding Tasks LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:19:31.406992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:19:31.406992Z digest=sha256:bd3e0284a5833de8a070142c8abad53b7502fe819e7cb9606f714888aa382990

Observation d05de64c-8d15-4c16-8c1d-d497062da4ae · inbound

EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community cites this paper.

EchoAid: Enhancing Livestream Shopping Accessibility for the DHH Community LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T21:47:34.429936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:47:34.429936Z digest=sha256:645a1d82bba409bc36f9b32984038bb770eced63c10392fad36a9ffb6f8b03e1

Observation 886c9d15-b8ba-4f12-bb9f-d3f48df16078 · inbound

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition cites this paper.

Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T11:51:58.163511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T11:51:58.163511Z digest=sha256:7419ea55c7ba15de178cf49a4701e174981b502456a3782e40e6d7918ef90a65

Observation 6a689773-5525-4b15-8f0f-776445b4e03c · inbound

Commenting with Copilot: A Taxonomy and Multi-Year Analysis of Student Code-Generation Specifications cites this paper.

Commenting with Copilot: A Taxonomy and Multi-Year Analysis of Student Code-Generation Specifications LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-14T10:04:28.528789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T10:04:28.528789Z digest=sha256:ae28ab2a83584686aace7e78083047357c755613550089eecc98b8a72810f10b

Observation 33965e9a-14ba-45df-9284-42b82e894d9a · inbound

Design-Based Supervised Learning with Noisy Human Labels cites this paper.

Design-Based Supervised Learning with Noisy Human Labels LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T23:26:00.748201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T23:26:00.748201Z digest=sha256:087eeb026dba014494887b9aba029e3a6530d7dc5c7241ba159fda091bf78d44

Observation bdd246ea-4e68-4199-81d7-5cc69fa86738 · inbound

A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health cites this paper.

A Computational Ethical Framework for Financial Digital Phenotyping for Mental Health LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 256

Resolution
unresolved
no resolver link, observed 2026-07-31T19:30:21.449392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T19:30:21.449392Z digest=sha256:cbe464c0ed99865b31151642e3b1954cc72e3f40a69ec59d22446d853b3f4e22

Observation 603fd62b-9aa0-47d9-bb3a-6184557b3015 · inbound

Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities cites this paper.

Identifying Implicit Bias in LLM-based Chat AI Toward People with Intellectual Disabilities LLM-Assisted Content Analysis: Using Large Language Models to Support Deductive Coding

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T11:02:30.020532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:02:30.020532Z digest=sha256:c9151299f1df06b4222da6d4edbd591b16f03ecd8b628bd1d0765b164ef6b8b4