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Paper Citation Record · LEDGER

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

As of 7 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=sha256:5c879aba28a618a51e4fdde8fed404016f399e20bdd50d6268a35dfd8a228b38

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:c9a1db1ff6d99e03d7b09122dd1b3e868e3b75001386183bc84249d80789949d

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:cd5d3ac6abb3a454d2e463d14e6878d1792463dacb0547dfe8b5bf6ffac23b5c

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=sha256:26815ed6348e4fef2166288a3cc120ad5cbe1d6ac5de310acfe8c82d6e0f4a2a

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:b495fc1eaea09b5bbb2bcfed31ef7c31cb64add7082ed25f127a5718cb24c7bf

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=sha256:6646f3a394570ceacc41ce107f509ed6b8b47acfc33cdd1b91a913d58c96c913

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=sha256:5135abd646db156fb7f03a40eba031fb90545dab716294551a11355212c0be03

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:f68d5e5687881bd28e037f518a88b071f7d4002441e05d1bc80dc028bce28b80

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=sha256:647ad50b42afe35f74a57b684662076ce2ac44cec70df7e0d19a762b9bb7e8c5

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:e481abe698e4e7fd1d521cedf29999e8c56a1db50c639bdae02e696fde20c478

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=sha256:715637a2d641e95d2f2656503f8c1b23d2c5cf69f12879ee5ee3aa36ea8a7772

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=sha256:49da1cc344ffa46792f19b5e7840c4b3ae8255177d9d15545ede7ebbb031f566

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:cbea009a875aba38ac9246e64610b89c7a626b33d8eb17385758798915316c26

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:e6b071e4f53a36be7717411716ffe6d04db91594be941038fc6c768866aeda76

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=sha256:3dc6605864e990c9f43b7bc0fe20ce9cdd80d18cdd290e78fc8b90ee23778ca7