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Paper Citation Record · LEDGER

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2506.23998.

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

pith.paper-citation-record.v1
2506.23998 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:31:04.683003Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-14T18:23:25.269217Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T18:27:35.950606Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e09472c3-0c2a-4d82-b64b-7e047bf36711 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.422338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.488744Z digest=sha256:dd8de44df5f093b80c24b76c935e56b7aa260aff5c94e00a0d50ec3d4556ed3c

Observation de6a04c1-67fc-4b09-bf9d-a38af10e6580 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.396901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.499926Z digest=sha256:76441af3f41b4be2422fd44abbab1731e2ccefeffe6e9a47ce64bbd885694ef6

Observation 0a7c83f5-9e2e-4db8-9419-8d1b15bb24b1 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.375895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.508373Z digest=sha256:8d4f52967662ad230dc44d38734364e3c54824c2f7cabb7708e5d57ff231a7d0

Observation ce32bfb8-d074-4e1b-a580-503150134ab0 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.353964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.515282Z digest=sha256:5d2f5fe9755fd70f4b2559a366980133600a41a0b226db7f8d8237d84d366006

Observation e4134884-4902-49ca-9d65-a00ac834a348 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.329127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.524256Z digest=sha256:502d06b33ed6e30a9229d764fe6163979db7b53912da1852a32bfe935e825996

Observation 930d8121-a08c-42c4-b497-d14f1e58ee0d · outbound

This paper cites Your job is to perform ONLY Step 2.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Your job is to perform ONLY Step 2

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:31:05.304439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.531110Z digest=sha256:e55ed8bc097757fc7c24b835fc2500593e15093e50b326cc65998a709c6bfef4

Observation 148c864d-851d-48ca-990b-b475439538ba · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:04.823978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.683003Z digest=sha256:21c4c24fcdb6039a01959990da606550b6eb8a5aa1e878dec090686f0305851e

Observation 62f6884c-af4b-4102-92d3-de8d5469196b · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.281662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.538095Z digest=sha256:e74b3d28cdb47e8b339d2446bad90999d6603b06c023840746c64431c3bca854

Observation e6ae3c3a-28e6-4b37-844d-c2bf0304069b · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.257393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.547137Z digest=sha256:ef124d36826b12a419ec3ccf83b6dd24ef9012cc36482a148858d93398be6537

Observation ffc564be-462d-4e20-af90-11655a5f5197 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.234625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.553674Z digest=sha256:02b096c86939b2a81c9de0897e058b4872d38b6691ec016e68895dba1a1d78f0

Observation 84b093c1-5982-440d-b307-8d990d132eb2 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.214726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.563102Z digest=sha256:db5611cdde6c28de5bc8f10cad4ebaccda0c9a8769098b1c2974dc1e8d2c7827

Observation d36946f0-b0e3-4042-baf3-e67ec535cb40 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.193251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.569257Z digest=sha256:c00cfa2df15f4838bbddb04e2f558232cb0f87726d8a2638f7f089dcb96ecd49

Observation 6b4b7644-8e2a-4e47-b3de-683f44e5a914 · outbound

This paper cites Your task is to perform ONLY Step 2.You MUST include unique Quote IDs (e.g., [P1_S002]) with descriptions grounded in the transcript.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Your task is to perform ONLY Step 2.You MUST include unique Quote IDs (e.g., [P1_S002]) with descriptions grounded in the transcript

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:31:05.172854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.576076Z digest=sha256:8af47680fb0c3c4a2b15c99b3665b3b7e26f9b599c927ce18e6f664932c2a6f9

Observation 9b1f8a04-bcfb-48e4-994d-c4a69b983e38 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.150346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.589032Z digest=sha256:24e8d5556d61c6d236476a172f896be9d32f259139dfbc46800aa88e36a5e1d4

Observation 959ea792-3037-4856-9fc5-33c9d5e16d0c · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.127629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.596447Z digest=sha256:37bf5707686c50828d6ba8b253f1cd1fb72d1c8a44d66a8dfaeb9db35f2f87d2

Observation 654e351f-0bc2-4163-8ce2-f134d1dc8ffe · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.097528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.603121Z digest=sha256:8dd2dc74d7f1bcae3307be1572a0347c4b28acdaaf90c548c7a59e3bc52645af

Observation a5992b28-2ba1-4a74-a2e7-913ca3ae9121 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.075724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.610399Z digest=sha256:fef8fb9ed40d2006466c4433c9fe16f5e075566581cf5b9b85eb6e3f8ae2c4c4

Observation fac41b14-8344-4144-a051-776194f579f3 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:05.050102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.617777Z digest=sha256:1a9094c16171a9cc3f02b38ae12f4d84e2246b7629c6f4d59ceb667e9f6af665

Observation 88358df5-300b-413e-b848-a32858b92a39 · outbound

This paper cites Initial Codes from Vanilla Identity.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Initial Codes from Vanilla Identity

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:31:05.019301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.627373Z digest=sha256:25d4855f3dfbdd992512e63167aca475d3c8a3cbe76b8314e4a64a39a9739178

Observation 174be762-6617-4f25-86a8-bd3e070be765 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:04.990866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.635487Z digest=sha256:196f3ae83f75155261b44a2cb45691c1ed3514b67aea075ebb4bc42fe028ed12

Observation 5c610202-ceeb-4348-855f-beddb6007a43 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:04.966732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.641503Z digest=sha256:e03e9e25966df6518662bab9047ff1e0f02aa2f40cfbc8de5526b088e3cd0a0a

Observation 4aada8aa-c41e-4571-9999-6c8b479dfb52 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:04.939813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.649555Z digest=sha256:2fe00da7f112091beaa0226bb24de29910bd5d63cfbd8f2d4834fd209970f75b

Observation 0bfcf962-41b5-4d67-afb9-8da91a109dae · outbound

This paper cites watchful waiting due to mixed medical recommendations.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning watchful waiting due to mixed medical recommendations

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:31:04.912926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.660424Z digest=sha256:2cab7c0c433ba908408cfca04ca1e2cceeaab683bcde24e910b18f5cd0b9f99c

Observation 21b7de4c-2536-45f5-b8ea-91788bf8132c · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:04.886939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.667304Z digest=sha256:7f52ff85fc39a1d3c296cb0cc0c3c52e9ef3e643008a1c8dd023ecb4406a2ca3

Observation 3ffc479c-9a45-4442-9dee-c69fbe73e174 · outbound

This paper cites an unresolved cited work.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:31:04.858721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.674750Z digest=sha256:d59c0cb3b8fd338d81a74b940a7ab774a093fcccba6d722ad27e542da7dd2fcb

Observation f492fc01-1f95-409b-93b9-cbcff993583d · outbound

This paper cites LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T21:31:04.798117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:31:04.467823Z digest=sha256:6d3ba9500d305eedf57776021a6b06926d12305873352b64385c45bf001bd285

Observation 22f0bfa7-8d7d-4e3e-a703-504db0222a9c · outbound

This paper cites TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews.

Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T21:31:04.481518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:31:04.481518Z digest=sha256:54cee03dc8437679f69a751dd8a63e21363a1d6623588210c9839b448a6499c7

Pith citing papers

Observation c3cb025b-cafa-4b3e-a830-2c4c5d71b970 · inbound

How to Interpret Agent Behavior cites this paper.

How to Interpret Agent Behavior Auto-TA: Towards Scalable Automated Thematic Analysis (TA) via Multi-Agent Large Language Models with Reinforcement Learning

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-14T18:27:35.953914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T18:23:25.269217Z digest=sha256:0f2ae917cbdee9c2a472c98a60d1a06c6228e04f5fb0c5b482800f425997b752