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Paper Citation Record · LEDGER

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2608.06409.

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

pith.paper-citation-record.v1
2608.06409 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:32:31.857707Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved21
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12fc2f26-e210-4872-8367-3d12a1a249b8 · outbound

This paper cites Qwen2.5-Omni Technical Report.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Qwen2.5-Omni Technical Report

Reference 1

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Observation 6b1d5867-a5d2-4b12-907a-4be96bf25341 · outbound

This paper cites Qwen2-Audio Technical Report.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Qwen2-Audio Technical Report

Reference 2

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source=pdf_text observed=2026-08-10T04:32:31.748709Z digest=sha256:731d04fd131571e2d1c986c36a877a08138a8d3ca3ae8c164732819a92106f35

Observation 7df22cbd-5337-4217-b9fd-2d77c200377e · outbound

This paper cites Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Audio Flamingo 3: Advancing Audio Intelligence with Fully Open Large Audio Language Models

Reference 3

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source=pdf_text observed=2026-08-10T04:32:31.751914Z digest=sha256:36f59782bad78914fe9eb4fd1bcee66fd2c6af6eea3bcafe4418a72d45a170c6

Observation 7169cc16-c308-4225-8642-e29ac828e1da · outbound

This paper cites Kimi-audio technical report,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Kimi-audio technical report,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.755774Z digest=sha256:647ca84e189d77b115754c1035c2606855d5d6438e07885532c84e9ce9fa1924

Observation 1f549bc2-f8db-46eb-9657-e954e9be14af · outbound

This paper cites Phi-4 Technical Report.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Phi-4 Technical Report

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T04:32:31.758858Z digest=sha256:f542da9fce4ac06474b8e657c32552aa0a500752387a0eb3dbbdc7f77e34a457

Observation e5e3798a-e601-4e98-b73d-f23e6beae2bc · outbound

This paper cites Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning bench- mark for speech,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Dynamic-superb: Towards a dynamic, collaborative, and comprehensive instruction-tuning bench- mark for speech,

Reference 6

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raw_fallback, observed 2026-08-10T04:32:32.342391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.762009Z digest=sha256:c1f7c1ddf0c9f935c753c84ee3e38b94177370a1cad57c8b07e88568b8072465

Observation 5a74baf5-dfff-4e1d-ba59-47745e2b5ba9 · outbound

This paper cites Air-bench: Benchmarking large audio-language models via generative comprehension,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Air-bench: Benchmarking large audio-language models via generative comprehension,

Reference 7

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source=pdf_text observed=2026-08-10T04:32:31.764890Z digest=sha256:b919dd392cfb03d3796138e4c2e85413cfc88f605ac222d1e17173fb72b9bfb7

Observation 514276ec-cd9f-4def-8c4f-e1cc9e407b2b · outbound

This paper cites Sd-eval: A benchmark dataset for spoken dialogue under- standing beyond words,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Sd-eval: A benchmark dataset for spoken dialogue under- standing beyond words,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.767679Z digest=sha256:310ac0e520ec333a0b6745c505a9285faa4fdc284e9c9f5176be8f7b48e63ff4

Observation 73518e17-ad29-4a05-a8ed-85e3b0495df2 · outbound

This paper cites V ocal communication of emotion: A review of research paradigms,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models V ocal communication of emotion: A review of research paradigms,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.770216Z digest=sha256:d633316b97aafa092ddf0afb0f5241b49b781464c1a55d5b1eae037c5888d430

Observation 84c1c3fa-3f22-4829-9065-125e7e961368 · outbound

This paper cites Communication of emotions in vocal expression and music performance: Different channels, same code?.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Communication of emotions in vocal expression and music performance: Different channels, same code?

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.772730Z digest=sha256:b1aee81251e45a4eb1bec3e0efe7be9b1192b846f5755fa8ec76bce2f633fe24

Observation 0b853dc7-4226-41e7-9c07-496e62ae3e72 · outbound

This paper cites Crema-d: Crowd-sourced emotional multimodal actors dataset,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Crema-d: Crowd-sourced emotional multimodal actors dataset,

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.775354Z digest=sha256:d47ce3a6455539e21b878d9c49d92b395d759ee1fdeb6ce13dcd7ebecdea39a2

Observation 21baf8da-79c4-415f-bf8f-335cb0217c49 · outbound

This paper cites Calibrate before use: Improving few-shot performance of language models,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Calibrate before use: Improving few-shot performance of language models,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.778308Z digest=sha256:9d201c3d2f7db49d7c15a74f1084ab2914224d5c8e5b4a3f9e470bd7b87847dc

Observation ea5c18ea-ad1b-4da2-b542-f9db439a562e · outbound

This paper cites Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering

Reference 13

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source=pdf_text observed=2026-08-10T04:32:31.781328Z digest=sha256:cac138bd71733c93129917d0ccc203492eb8da27eafb60d3efe2a15e53865f01

Observation 7c06e0b6-47a1-4b6d-907c-8f2e6f0f9fcd · outbound

This paper cites Speechgpt: Empowering large language models with intrinsic cross- modal conversational abilities,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Speechgpt: Empowering large language models with intrinsic cross- modal conversational abilities,

Reference 14

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source=pdf_text observed=2026-08-10T04:32:31.784638Z digest=sha256:a824eb3bb3d8d7c5daa2dc035408d39bd728fde0f41978a33343dbb441bb1efc

Observation b4495293-cf5d-4097-b97a-12ffc1a69720 · outbound

This paper cites Salmonn: Towards generic hearing abilities for large language models,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Salmonn: Towards generic hearing abilities for large language models,

Reference 15

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raw_fallback, observed 2026-08-10T04:32:32.268581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.787548Z digest=sha256:31068d65326de02b41ca942666e2a06fdf028f6d43d7a0341146c5054a58f228

Observation 975be820-add6-4905-8c1e-0de9bccd650b · outbound

This paper cites Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities

Reference 16

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T04:32:31.790153Z digest=sha256:71de0b470efef1e5e59a34c2c16aeed8ab89ef1c77a9914bacb8fbe5a0858897

Observation 3eb2572c-a031-49a5-9ce0-ca827b501a8e · outbound

This paper cites Do audio LLMs really LISTEN, or just transcribe? measuring lexical vs. acoustic emotion cues reliance,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Do audio LLMs really LISTEN, or just transcribe? measuring lexical vs. acoustic emotion cues reliance,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a342f4ec-b2ba-4a16-9a7a-2ec0c823efe3 · outbound

This paper cites Large Language Models Are Not Robust Multiple Choice Selectors.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Large Language Models Are Not Robust Multiple Choice Selectors

Reference 18

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source=pdf_text observed=2026-08-10T04:32:31.796280Z digest=sha256:1852e29ae33540ca652c7996271ea88484bf39df927832a7688b023f1cf64824

Observation 2f238438-bd9e-441c-a9de-d0807bd603b7 · outbound

This paper cites Answer-level calibration for free-form multiple choice ques- tion answering,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Answer-level calibration for free-form multiple choice ques- tion answering,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.799510Z digest=sha256:2647348364c5f989241813aae13873db20d3d40b30ad40ba0655dc3eac899e5a

Observation 55b95ac9-c208-44b8-980f-53e4562a4e8e · outbound

This paper cites Hubert: Self-supervised speech representation learning by masked prediction of hidden units,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Hubert: Self-supervised speech representation learning by masked prediction of hidden units,

Reference 20

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source=pdf_text observed=2026-08-10T04:32:31.803074Z digest=sha256:fd7ef7e5cab5afe80ea0e03e0d4f5a8043f5e8d28b9ccfc927f307e748608892

Observation 2d5956e8-bd0a-40fe-9de2-4cace1eb436b · outbound

This paper cites Wavlm: Large-scale self-supervised pre- training for full stack speech processing,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Wavlm: Large-scale self-supervised pre- training for full stack speech processing,

Reference 21

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source=pdf_text observed=2026-08-10T04:32:31.806129Z digest=sha256:9a840a4151569a4297bdb4b074461c48b263094ca913d9c30a55f5bf5a955b35

Observation caa98c24-0039-4434-ac89-9f289bd86581 · outbound

This paper cites Robust speech recognition via large-scale weak supervi- sion,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Robust speech recognition via large-scale weak supervi- sion,

Reference 22

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source=pdf_text observed=2026-08-10T04:32:31.809159Z digest=sha256:40d327da83f923209df0cf4e33ca6b483ff09e8cf3b94beab688a2367a54afdb

Observation 15dd4bdf-9119-43c7-bcef-508061614cdd · outbound

This paper cites Layer-wise analysis of a self-supervised speech representation model,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Layer-wise analysis of a self-supervised speech representation model,

Reference 23

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.812197Z digest=sha256:a11f4a0474e53c67ef090c77006020b33492adb4d3d47cf3e292ccedcb429307

Observation d95b1587-b325-4ae9-8fe7-80e61dfb5db2 · outbound

This paper cites Probing phoneme, language and speaker information in unsupervised speech representations,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Probing phoneme, language and speaker information in unsupervised speech representations,

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.815341Z digest=sha256:7c6b1ab3c3913e9bab34f6eaeb2517b6c963fccce3fec4fcacf60fcaa5df63bb

Observation 8a24cd67-ef46-40c3-91c3-e4cf0f41e746 · outbound

This paper cites Dawn of the transformer era in speech emotion recognition: Closing the valence gap,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Dawn of the transformer era in speech emotion recognition: Closing the valence gap,

Reference 25

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raw_fallback, observed 2026-08-10T04:32:32.210353Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.818385Z digest=sha256:be7a6e0038f34d075dfd0e7689bfbfa0059212e7a13bf4706cbd3349596a178a

Observation d941a1d7-0c41-496d-95a6-c3be79a69a4f · outbound

This paper cites emotion2vec: Self-supervised pre-training for speech emotion repre- sentation,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models emotion2vec: Self-supervised pre-training for speech emotion repre- sentation,

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.821264Z digest=sha256:4a9e5bec010b48eb2a59bc286fd56bbbc46dfb14a53cd1b55b666ba4c1f3b6bd

Observation 9b8cb20c-c684-4561-851e-9dbd9768238f · outbound

This paper cites AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models AudioLens: A Closer Look at Auditory Attribute Perception of Large Audio-Language Models

Reference 27

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source=pdf_text observed=2026-08-10T04:32:31.824223Z digest=sha256:d954f39355b651e038081a139394777bbfaefb896eb934ad05bcbf8f188caf4d

Observation cdcc73b5-582e-4ab3-84d1-176c007af2dc · outbound

This paper cites Probing classifiers: Promises, shortcomings, and ad- vances,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Probing classifiers: Promises, shortcomings, and ad- vances,

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.827506Z digest=sha256:c51591d5a24178c58a7e3a6451378dd6d35b697dc60fad61b97242007a330c20

Observation 7e1e1750-5569-426a-9efc-2dff05f7ae46 · outbound

This paper cites Interpreting GPT: The logit lens,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Interpreting GPT: The logit lens,

Reference 29

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raw_fallback, observed 2026-08-10T04:32:32.189362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.830052Z digest=sha256:1b9b7a5c3afce06864e675223f775e899f874a921073d4813c0d9030680b1129

Observation 0ddd82d8-1421-4acf-a6f1-958a9fc9eb74 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.832716Z digest=sha256:215ace0a891b865b99a7f27914b842dd349f17344810d7859b6f41ddf34bec36

Observation 1cd0d5de-6a37-4cb8-b987-f20dd1ccde1b · outbound

This paper cites Investigating gender bias in language models using causal mediation analysis,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Investigating gender bias in language models using causal mediation analysis,

Reference 31

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raw_fallback, observed 2026-08-10T04:32:32.180872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.835497Z digest=sha256:250bba8d668aa571f311405322a9a38fb062fa988230501323f6b3e6fcb017f7

Observation a572b513-5b0e-49d3-a1ab-73c952795bee · outbound

This paper cites Causal abstractions of neural networks,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Causal abstractions of neural networks,

Reference 32

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raw_fallback, observed 2026-08-10T04:32:32.171051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.838302Z digest=sha256:a07b3ae8e140832fd73df4b9c49540a42ec31a69a14104e965b03983162d9f79

Observation cf029d59-5115-49fa-9785-ff579905f8aa · outbound

This paper cites Locating and editing factual associations in gpt,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Locating and editing factual associations in gpt,

Reference 33

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.841090Z digest=sha256:1d9a4ddc62e60f9a0039915536de679aa8b61772d718b74244e3c369689ec3c0

Observation 54b8722f-1044-4f42-97ec-c41e226f8953 · outbound

This paper cites Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching

Reference 34

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source=pdf_text observed=2026-08-10T04:32:31.843709Z digest=sha256:63390e9ba0576706f37a636d775386a3cd8c00626008e1d18bcc0534e3c002b1

Observation a16442fd-35b7-4eb5-b923-cc08be8f495a · outbound

This paper cites Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:32:31.846587Z digest=sha256:ddcba83e5b09156547e9c7c6d9a2cf9aeb2adad9c0c544ed20912a493ec75dbf

Observation 47eb4545-247f-4fa5-8bda-220483bfde1a · outbound

This paper cites AR&D: A framework for retrieving and describing concepts for interpreting AudioLLMs,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models AR&D: A framework for retrieving and describing concepts for interpreting AudioLLMs,

Reference 36

Resolution
verified exact
raw_fallback, observed 2026-08-10T04:32:32.031362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.849918Z digest=sha256:d0828c11b7e5f2289c2f12c59799d5a1f016d8fa6a24c6d7a0f831cb2022d5e6

Observation 02154628-7b4f-461a-b37b-39cd7ad01534 · outbound

This paper cites Who wins the conflict? mechanistic interpretability of text bias in audio LLMs,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models Who wins the conflict? mechanistic interpretability of text bias in audio LLMs,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:32.154974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.852436Z digest=sha256:a527f58cd0303665bb667e317c1113a62fb3e5b88bab8f27cd070c3edc219f7f

Observation 66530ff9-482e-4856-a6a1-cd81a27d2b6a · outbound

This paper cites VESUS: A crowd-annotated database to study emotion production and perception in spoken English,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models VESUS: A crowd-annotated database to study emotion production and perception in spoken English,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:32.144647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.855121Z digest=sha256:e791c6ff04c11aaa4557da1a96c19fe7c83333cb8d0101a5a02c0570bab67a49

Observation f28e80ba-7aed-4275-b341-81ebfbb19afb · outbound

This paper cites A theory of usable information under computational constraints,.

Separating Decision-Rule Misalignment from Readout-Coverage Limitations in Speech Language Models A theory of usable information under computational constraints,

Reference 39

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T04:32:31.964757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T04:32:31.857707Z digest=sha256:76188df134acba3c8bf77b1b70e07cf032943e12123c11da2e2dd891270cc6fd

Pith citing papers

No inbound Pith citation observations are available.