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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 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.488744Z digest=sha256:596592885ac27d84e7114f31f7692e149c84f5f8b07ea2fcc3e63e320ac81371

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.499926Z digest=sha256:eb668641886207e931f99b86e0342efeb114a4838e74f6164a7ad8cae7e7dd7e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.508373Z digest=sha256:97673ee3821b7ad9b5e3d7d3c5104163825e854971e28613b77405d80c173d10

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.515282Z digest=sha256:ba0a640987951682d96d558950d9f7117f63bffd9493ae2334759641e4162c48

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.524256Z digest=sha256:e058a19a56f41773d44cbca5ae4d853a44abc6fa80403e53046f39eb2f9e4588

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.531110Z digest=sha256:c55ebb11b64f653cd38cbf12aa31608ac6a55e7039dfb9431bc23b1ca25910b1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.683003Z digest=sha256:3c3ef6fa41678e16ffb3e11bf8e5764dbfac2673f061ae3dfa3be4be29b4b0c9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.538095Z digest=sha256:07c0cf743eb42bad0d5cae63650134ab8e746db838c89fe3549dfa10b3114f7b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.547137Z digest=sha256:5a52b320c93a6d3b58a4899fab6ee0941faaea9a191d1cb65f2719bbc953ba61

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.553674Z digest=sha256:30cb1cecb422ee49eedd61d00cb0cbd35b6507acebfbb6fac6d435509984a9e1

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.563102Z digest=sha256:62692f5c04d5c9074164a4ede21811a0e201684c9a54970d95c70c5d91a11004

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.569257Z digest=sha256:8784ad086b04fd528513850cdde519ba2aa403047f49218d243b5b7364a29de8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.576076Z digest=sha256:bdd0147da3f3a8dbe8d33fe37c73f5bbba5ea7cd95e04e7de09511799dc98485

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.589032Z digest=sha256:06f3b3f830ed93726d8e7d3b8e26575dbfffcbc6449cf77b20bcfc34fb7c6b4a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.596447Z digest=sha256:828ca15dd2d9fb90edad58ed30f3d2e05096b9b712b039023c4b90c1d95c0a60

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.603121Z digest=sha256:510400e3e44d32dfce91d12e10a7bd5c4095dd4587625ff85941c018d6a2aefe

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.610399Z digest=sha256:921145e99be8e7b60240a99f53058eb1780104c1d0f8c9d336a64bd77c7fc04c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.617777Z digest=sha256:ed357780633a88358d1dcae795817ec15a18343c968ef439030b5057b9307d3d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.627373Z digest=sha256:8b78ad057e4f2961198e2f4c4d95a587598aee41172f062a2078ca3be34d60c2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.635487Z digest=sha256:6f259980ebf420e6b0477134f66a4ff927ae411185d16652f71500c5b694d497

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.641503Z digest=sha256:ad2990cd88ecefae982c729c75752f89755b075dc494125337109218cc2e7bdd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.649555Z digest=sha256:e01a77ed1b02c4e3bff908d49ddaacd6d979cf1c15f9735e491fd4deb6f5d169

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.660424Z digest=sha256:6b3444557c9bc075806cc391b6663d9eda9ef3be50f5dab70acf1bf52c8b95f7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.667304Z digest=sha256:c4e27c5f5fc20d65626e82689959ab3974b942ba09a34ccfefe6e898d83a406f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.674750Z digest=sha256:75e638ea3f6c32930ef08245fa3029251d8df9f9bd9b5a88bba448840c8672cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T21:31:04.467823Z digest=sha256:f027f8f5bc0c293f4406ce273c27b48bd50c43b908b8730eeec0407ef291d2e9

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=sha256:5fe4802243a76ffec6b348fcdf2e3a9f176b3250501e86ce9a1df1e06fbddd45

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T18:23:25.269217Z digest=sha256:3c0820968bf78f04b81d897ffb2164043ec46a83588c40d63608c4e232842a6f