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Paper Citation Record · LEDGER

Where do LLMs Fall Short in CBT-Guided Affective Reasoning?

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.02885.

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

pith.paper-citation-record.v1
2607.02885 v2

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:23:49.752475Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

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External citation measurements

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Outbound references

Observation d897b489-8bf2-4823-88cb-1a5012933337 · outbound

This paper cites Zao-Sanders.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Zao-Sanders

Reference 1

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Observation d2e684b6-8f0f-444a-a009-e78b9f6b721a · outbound

This paper cites How people are using chatgpt,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? How people are using chatgpt,

Reference 2

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:2a616e94947225e35eb574f3a418041f8a46e6ba25769e6e7a6e14f1e5e0a93e

Observation f9416c1b-4e63-4022-a357-5155a8bf9bdd · outbound

This paper cites How people use chatgpt,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? How people use chatgpt,

Reference 3

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:438528317327971a91c06f6a7b20f19960107006e958cff945528d697b9a58bd

Observation 4e6aa626-7869-4986-827c-933258d40011 · outbound

This paper cites Sam altman says chatgpt has hit 800m weekly active users,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Sam altman says chatgpt has hit 800m weekly active users,

Reference 4

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:85bceae40948283866bcefb5db645d95b69dfe9a5cc8a6fa5367429b3e7917a8

Observation 43e4b6ae-8a76-4581-bb4c-27d712b9dda1 · outbound

This paper cites an unresolved cited work.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Unresolved cited work

Reference 5

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:4c755f701ae6002b4503675e967998d295b7e80cd3fe1aba628398f009d4b25b

Observation d7229390-c041-4f7a-82cb-3b3c3f46528b · outbound

This paper cites Emotional intelligence of large language models,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Emotional intelligence of large language models,

Reference 6

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:63b550171b8cfac3d39aa578e64117b7a4d562634eddcf8d646ad4fd90a8e5db

Observation 2e0806da-44d0-4384-8969-6a950c01dffe · outbound

This paper cites Aware yet biased: Investigating emotional reasoning and appraisal bias in large language models,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Aware yet biased: Investigating emotional reasoning and appraisal bias in large language models,

Reference 7

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:f6ee603aa18dc0e988d533e379a0f7f168ccebac7533f898a6161fd92e5af7ed

Observation fa05690b-c859-420d-88d2-d147b8d7d364 · outbound

This paper cites The efficacy of cognitive behavioral therapy: A review of meta-analyses,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? The efficacy of cognitive behavioral therapy: A review of meta-analyses,

Reference 8

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:7ca0ec61647c2f092a8ed2967ca1dc5b929bbd3b6973b42ef386b8e4aa073aee

Observation c267a92f-575c-492a-92bc-aa34e7e16260 · outbound

This paper cites The cognitive concep- tualization diagram,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? The cognitive concep- tualization diagram,

Reference 9

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:77c9e43680bec7f2cb0b4b924694d4d9a4eb83c5cbd72ecd2c6315e600b54c8d

Observation 6fa62e68-b1a8-46c1-a75e-6fcdc1fb6e17 · outbound

This paper cites Using linguistic entrainment to evaluate large language models for use in cognitive behavioral therapy,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Using linguistic entrainment to evaluate large language models for use in cognitive behavioral therapy,

Reference 10

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:73ae7e3d1749b93609af071a9187ced19e9108d025b43868054e2fc82acce92d

Observation f602bf56-ae1d-4a08-b509-ce5e51a18e7b · outbound

This paper cites Feel the difference? a comparative analysis of emotional arcs in real and llm-generated cbt sessions,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Feel the difference? a comparative analysis of emotional arcs in real and llm-generated cbt sessions,

Reference 11

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:7a4906cbd942e24a740f81dbb0052c2a99e9f48dfc3fcc482caded956f143926

Observation 0a6c5cea-c6a0-409b-baab-a3c2cb55cbd5 · outbound

This paper cites CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy

Reference 12

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:a5851606161eca03ba976699ebcd3992cc41154cfe289aba28bc196da4a4ab73

Observation 69b3a8f1-f83b-4d9b-8d46-4f2f9142f1e3 · outbound

This paper cites Patient-ψ: using large language models to simulate patients for training mental health professionals,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Patient-ψ: using large language models to simulate patients for training mental health professionals,

Reference 13

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:64a0799361a7f81d8528f9a761f8fb8a9d64b85872fc5c5d75c558fc14d67e45

Observation 11f2ab40-60c5-4f72-a85f-7f46c7d26179 · outbound

This paper cites Crisp: Cognitive restructuring of negative thoughts through multi-turn supportive dialogues,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Crisp: Cognitive restructuring of negative thoughts through multi-turn supportive dialogues,

Reference 14

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:2cc9dcc6c6ef372e20d1e30df83a85b2807577954845b31514540c677418a21e

Observation fc47ecc8-6ffd-4015-8e93-468e16dc522d · outbound

This paper cites A circumplex model of affect.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? A circumplex model of affect

Reference 15

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:94fc62e6b93abe2a956539676c83b111794f431a3ac913dc0b726a29bf61f8ed

Observation 5ccc93ee-b4bd-446f-b9c1-68120ebe0e47 · outbound

This paper cites Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Obtaining reliable human ratings of valence, arousal, and dominance for 20,000 English words,

Reference 16

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:2b9cd480a2952270fbdb7ba6bb165585f6ade441d480967cd37c298814500aba

Observation 1f13bb59-828f-4976-b184-3163b6c10a33 · outbound

This paper cites Modeling interpersonal linguistic coordination in conversations using word mover’s distance,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Modeling interpersonal linguistic coordination in conversations using word mover’s distance,

Reference 17

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:dda59e23de9787813cbe258c45ef136f329c9b5bbb76e2e88af45d47daabc1f6

Observation 4583a29e-5441-4850-9277-33d713184b0a · outbound

This paper cites Aligning large language models for cognitive behavioral therapy: a proof-of-concept study,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Aligning large language models for cognitive behavioral therapy: a proof-of-concept study,

Reference 18

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Observation 62305119-59ea-4b70-8d91-2a384b2afc84 · outbound

This paper cites Interpersonal synchrony: A survey of evaluation methods across disciplines,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Interpersonal synchrony: A survey of evaluation methods across disciplines,

Reference 19

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Observation 0f9dadee-2eb2-4c6f-b2d3-162a45081dfe · outbound

This paper cites Language style matching in psychotherapy: An implicit aspect of alliance.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Language style matching in psychotherapy: An implicit aspect of alliance

Reference 20

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:f8b7331949a4a1fbea271dd0f073cf0d0baa161e1bf5b290c6cd5aefd593da19

Observation 27514507-e0bc-4611-b028-5bcfa36705e4 · outbound

This paper cites From word embed- dings to document distances,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? From word embed- dings to document distances,

Reference 21

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:efba23bee7e62e3c3ac176c8b9ad97a42bc490ce2f04c49360421aac1c9343a5

Observation 4e9a2026-5c93-4f4d-a391-bc87640b7fe9 · outbound

This paper cites One battle af- ter another: Probing llms’ limits on multi-turn instruction following with a benchmark evolving framework,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? One battle af- ter another: Probing llms’ limits on multi-turn instruction following with a benchmark evolving framework,

Reference 22

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Observation 1e1f1778-a744-4220-97f3-a2eeddfe7ffb · outbound

This paper cites an unresolved cited work.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Unresolved cited work

Reference 23

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:113d2ab558c6e0772b64c5c6102bf028db587ebb4a763d26e0212bd41d0a99e3

Observation 41cc7dca-2c4a-4156-b88a-069469a55333 · outbound

This paper cites Individual differences in two emotion regulation processes: implications for affect, relationships, and well- being.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Individual differences in two emotion regulation processes: implications for affect, relationships, and well- being

Reference 24

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Observation fb749a71-2525-44dd-aa58-ad7f37f9169e · outbound

This paper cites Steal and smile: Impact of emotion regulation and social values on smiles in social conflicts,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Steal and smile: Impact of emotion regulation and social values on smiles in social conflicts,

Reference 25

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:fa119104188970aeab09a90035f9bf4b34d4a687eaaa3067956f54eff7d2a942

Observation 1f1fd153-15f8-4d2e-a286-7d370e8bd61f · outbound

This paper cites Use of snomed ct in large language models: Scoping review,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Use of snomed ct in large language models: Scoping review,

Reference 26

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:4dc14fda08e94a30a9de41013941379d7f269d8e2b807ffed6d2c6e0d69f3469

Observation 60694139-742f-4a60-853f-4b5245492a4c · outbound

This paper cites Neurosymbolic retrievers for retrieval- augmented generation,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Neurosymbolic retrievers for retrieval- augmented generation,

Reference 27

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:102194dc4309aed32e2d4b753b6929b76cae30c899c4bf42f362ce0e672a5643

Observation 6cc44bb4-0e70-478d-be52-0675e98ec7cc · outbound

This paper cites Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification

Reference 28

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:4591a54899f6c6928ae7e4e2cbe079b73664550225d41b07fb91185fec9b5577

Observation 41e18a31-71ac-4ba1-ae03-06d4f214f11a · outbound

This paper cites Snomed ct,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Snomed ct,

Reference 29

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:a7ded821138a9031898bc495733aee16086636aa005da7fe1e54789f38ebeafb

Observation 64b89c64-4a63-4e80-aead-8e035a7c028c · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Mpnet: Masked and permuted pre-training for language understanding,

Reference 30

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:08dcd1d902aa741a306fa6119f6298cd301f0a7d7d293d5658f56f300386a5f7

Observation 6603cdd0-3853-4ee3-ad06-317f7b26c9d9 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 31

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:5f2d61f17fecb140467ea1df7c17c47a657855307b9370d376b0c337ec2c5fb3

Observation 7e8187de-05b2-47b5-9bba-5a958d9e8385 · outbound

This paper cites Self- alignment pretraining for biomedical entity representations,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Self- alignment pretraining for biomedical entity representations,

Reference 32

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:16840e0a6227d28d446186c73fc941733a9578edf7ea92fb9b26648f9cd8e721

Observation 959ee90e-3167-41e4-bfe8-d138ca5eecc8 · outbound

This paper cites Large language models are contrastive reasoners,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Large language models are contrastive reasoners,

Reference 33

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:6d48d70354ec0b526185758d11fbad647e09fb77f4a91bbbc0196737d7824624

Observation b7797841-4adc-4e1d-a0b4-0cb26edeb22c · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Sentence-bert: Sentence embeddings using siamese bert-networks,

Reference 34

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:aa37e5a954bfe8934e245e800853f2e1e2b210a6485fa1a2e2750867f167a13f

Observation 4aa7ec13-dbbd-4021-8729-7a44aa8965c8 · outbound

This paper cites Forecasting Rare Language Model Behaviors.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Forecasting Rare Language Model Behaviors

Reference 35

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Observation 3e3cb62f-0d76-4963-a4b5-55a9172ac635 · outbound

This paper cites Evaluating large language models for accuracy incentivizes hallucinations,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Evaluating large language models for accuracy incentivizes hallucinations,

Reference 36

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source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:08f20f9dd56cb42fab92145543e6c9c6179ba27b9dd85d1a6d592a514881eb6b

Observation 0a752086-3c3a-45db-8eb3-176a9f7cc6ca · outbound

This paper cites ICML 2024 Tutorial: Physics of Language Models,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? ICML 2024 Tutorial: Physics of Language Models,

Reference 37

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Observation 13d0c97b-762b-432c-bd55-a088124e528b · outbound

This paper cites Huygens,Horologium oscillatorium, 1980.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Huygens,Horologium oscillatorium, 1980

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-12T06:23:49.752475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:562db9a69462fac8da2eb2b115a10ad05df6c8f4d3f9357104109233c6f39bde

Observation e83391e0-8f29-44fb-bcd3-30ea8e5f7c61 · outbound

This paper cites A threshold selection method from gray-level histograms,.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? A threshold selection method from gray-level histograms,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-12T06:23:49.752475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:3fff3d1d79fa5919439069e059162f54620db9188a3ded37661efa906cbfdb8d

Observation 744e89d5-6068-46e3-ac0f-0634cc296711 · outbound

This paper cites Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Moral Sensitivity in LLMs: A Tiered Evaluation of Contextual Bias via Behavioral Profiling and Mechanistic Interpretability

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-12T06:23:49.752475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:0452b633e9ee2e0a34f4eb5bffa480e0a258ccba79a2fb374aaad1a3b8b7c372

Observation 0107dedf-b7a5-4e10-80ed-509e6b7e90ad · outbound

This paper cites Krippendorff,Content Analysis: An Introduction to Its Methodology, 2nd ed.

Where do LLMs Fall Short in CBT-Guided Affective Reasoning? Krippendorff,Content Analysis: An Introduction to Its Methodology, 2nd ed

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-12T06:23:49.752475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:23:49.752475Z digest=sha256:53d775ecfc58dc6b9f43ffe2c765885897b2852163eac2f0dddf9b95ce899a03

Pith citing papers

No inbound Pith citation observations are available.