Paper Citation Record · LEDGER

Layer by Layer: Uncovering Hidden Representations in Language Models

As of 19 August 2026, this Paper Citation Record lists 100 of 173 outbound references and 74 inbound Pith citation observations for arXiv:2502.02013.

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

pith.paper-citation-record.v1
2502.02013 v2

Coverage vector

measured 100 of 173 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T16:30:36.783894Z

measured 174 of 174 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 74 of 74 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:21:22.489512Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 173 outbound references displayed

verified exact0
verified fuzzy69
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 31cf633f-c9f9-4cc1-a1a0-35f9a0b9dcbb · outbound

This paper cites K., Mondal, A.

Layer by Layer: Uncovering Hidden Representations in Language Models K., Mondal, A

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.891700Z

Source-reported events for the cited work

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Observation 8bc9f2da-8675-43f1-84a4-a4e459c2299a · outbound

This paper cites and Bengio, Y.

Layer by Layer: Uncovering Hidden Representations in Language Models and Bengio, Y

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.900464Z

Source-reported events for the cited work

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Observation 3051e983-3955-4369-a128-371c1609b98a · outbound

This paper cites R., Subbaraj, G., Gontier, N., LeCun, Y., Rish, I., Shwartz-Ziv, R., and Pal, C.

Layer by Layer: Uncovering Hidden Representations in Language Models R., Subbaraj, G., Gontier, N., LeCun, Y., Rish, I., Shwartz-Ziv, R., and Pal, C

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.906242Z

Source-reported events for the cited work

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Observation 2738776c-7371-49f8-b95f-51e628c84f36 · outbound

This paper cites Information theory with kernel methods.

Layer by Layer: Uncovering Hidden Representations in Language Models Information theory with kernel methods

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.912641Z

Source-reported events for the cited work

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Observation a466ba98-cf03-4ef2-8fe6-169754c35537 · outbound

This paper cites BeIT : Bert pre-training of image transformers.

Layer by Layer: Uncovering Hidden Representations in Language Models BeIT : Bert pre-training of image transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.919252Z

Source-reported events for the cited work

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Observation c2f9a502-91a6-4cad-9928-28b055e27067 · outbound

This paper cites Why do LLMs attend to the first token? arXiv.

Layer by Layer: Uncovering Hidden Representations in Language Models Why do LLMs attend to the first token? arXiv

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.925019Z

Source-reported events for the cited work

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Observation 0e92d3c8-c143-4bf3-8f9b-94a31f48ad08 · outbound

This paper cites LLM2Vec : Large language models are secretly powerful text encoders.

Layer by Layer: Uncovering Hidden Representations in Language Models LLM2Vec : Large language models are secretly powerful text encoders

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.931197Z

Source-reported events for the cited work

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Observation b17f7ca2-3aa0-4f8c-a5ab-41b8fe171919 · outbound

This paper cites G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M.

Layer by Layer: Uncovering Hidden Representations in Language Models G., Bradley, H., O’Brien, K., Hallahan, E., Khan, M

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.936345Z

Source-reported events for the cited work

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Observation 9f850dfe-85bd-41d0-9cb4-e68da5c58a27 · outbound

This paper cites P., and Wilming, H.

Layer by Layer: Uncovering Hidden Representations in Language Models P., and Wilming, H

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.941430Z

Source-reported events for the cited work

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Observation 98496c56-071d-4904-a401-55bbeda3969e · outbound

This paper cites Guillotine regularization: Why removing layers is needed to improve generalization in self-supervised learning.

Layer by Layer: Uncovering Hidden Representations in Language Models Guillotine regularization: Why removing layers is needed to improve generalization in self-supervised learning

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.946917Z

Source-reported events for the cited work

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Observation 5ebcd6e6-75f3-4f87-b93e-b920f5dcd7b6 · outbound

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Layer by Layer: Uncovering Hidden Representations in Language Models Unresolved cited work

Reference 11

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Source-reported events for the cited work

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Observation ec9094ae-588f-4d5d-9e87-2a2e90920a44 · outbound

This paper cites On identifiability in transformers.

Layer by Layer: Uncovering Hidden Representations in Language Models On identifiability in transformers

Reference 12

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Source-reported events for the cited work

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Observation eeab8e8e-9c59-48df-9eef-47609c2a9edc · outbound

This paper cites Discovering latent knowledge in language models without supervision.

Layer by Layer: Uncovering Hidden Representations in Language Models Discovering latent knowledge in language models without supervision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.963785Z

Source-reported events for the cited work

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Observation 141a0824-ff1c-426c-b68d-a01a49330425 · outbound

This paper cites Generative pretraining from pixels.

Layer by Layer: Uncovering Hidden Representations in Language Models Generative pretraining from pixels

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.968493Z

Source-reported events for the cited work

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Observation b837f4f1-7d9d-470c-8ce8-af64225313b9 · outbound

This paper cites Emergence of a high-dimensional abstraction phase in language transformers.

Layer by Layer: Uncovering Hidden Representations in Language Models Emergence of a high-dimensional abstraction phase in language transformers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.973636Z

Source-reported events for the cited work

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Observation 414c3fc5-5c62-4788-a85a-1e605feab38c · outbound

This paper cites D., and Potts, C.

Layer by Layer: Uncovering Hidden Representations in Language Models D., and Potts, C

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.977669Z

Source-reported events for the cited work

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Observation c513e41b-540c-43c6-8fc4-e57d26e04c36 · outbound

This paper cites Deepseek- R1 : Incentivizing reasoning capability in LLMs via reinforcement learning.

Layer by Layer: Uncovering Hidden Representations in Language Models Deepseek- R1 : Incentivizing reasoning capability in LLMs via reinforcement learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.981920Z

Source-reported events for the cited work

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Observation d242bd67-898b-4459-a010-d5d4e1749052 · outbound

This paper cites K., Aitchison, M., Orseau, L., et al.

Layer by Layer: Uncovering Hidden Representations in Language Models K., Aitchison, M., Orseau, L., et al

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.987343Z

Source-reported events for the cited work

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Observation facf7fc6-a961-48ef-85f9-b5a87cb25890 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Layer by Layer: Uncovering Hidden Representations in Language Models BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.993611Z

Source-reported events for the cited work

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Observation 94213d65-4a75-4cd4-8aaf-ac49036c31a2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Layer by Layer: Uncovering Hidden Representations in Language Models An image is worth 16x16 words: Transformers for image recognition at scale

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:36.998822Z

Source-reported events for the cited work

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Observation 92d9c984-0e6c-48e9-a38a-c406f225495d · outbound

This paper cites The Llama 3 herd of models.

Layer by Layer: Uncovering Hidden Representations in Language Models The Llama 3 herd of models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.002687Z

Source-reported events for the cited work

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Observation fbbbd822-2c03-488b-aea6-c9b666292412 · outbound

This paper cites A., Toshev, A., Shankar, V., Susskind, J.

Layer by Layer: Uncovering Hidden Representations in Language Models A., Toshev, A., Shankar, V., Susskind, J

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.007250Z

Source-reported events for the cited work

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Observation 6b30f9a3-f465-4868-a48c-64c539927c73 · outbound

This paper cites Not all layers of LLMs are necessary during inference.

Layer by Layer: Uncovering Hidden Representations in Language Models Not all layers of LLMs are necessary during inference

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.011612Z

Source-reported events for the cited work

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Observation 07560d33-e355-46f1-9c14-60607b74d140 · outbound

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Layer by Layer: Uncovering Hidden Representations in Language Models Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation 4c455f60-38ff-49f8-aee6-14545da0d511 · outbound

This paper cites RankMe : Assessing the downstream performance of pretrained self-supervised representations by their rank.

Layer by Layer: Uncovering Hidden Representations in Language Models RankMe : Assessing the downstream performance of pretrained self-supervised representations by their rank

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.019388Z

Source-reported events for the cited work

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Layer by Layer: Uncovering Hidden Representations in Language Models Unresolved cited work

Reference 26

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Observation f8ac9a06-ef17-43fd-a749-70e0308addee · outbound

This paper cites and Dao, T.

Layer by Layer: Uncovering Hidden Representations in Language Models and Dao, T

Reference 27

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Source-reported events for the cited work

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Observation 177e3ccc-b2f8-4fd2-bab2-de8783762839 · outbound

This paper cites When attention sink emerges in language models: An empirical view.

Layer by Layer: Uncovering Hidden Representations in Language Models When attention sink emerges in language models: An empirical view

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.030408Z

Source-reported events for the cited work

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Observation c1e06328-7b9e-42c9-af01-0f2abff51626 · outbound

This paper cites and Tegmark, M.

Layer by Layer: Uncovering Hidden Representations in Language Models and Tegmark, M

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.033646Z

Source-reported events for the cited work

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Observation deb9c79b-8ae5-4d77-be80-7c29fcef812e · outbound

This paper cites Training large language models to reason in a continuous latent space.

Layer by Layer: Uncovering Hidden Representations in Language Models Training large language models to reason in a continuous latent space

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.037461Z

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Observation 0a4cc76b-09e8-4d00-9a57-7b8d6d1064f8 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Layer by Layer: Uncovering Hidden Representations in Language Models Masked autoencoders are scalable vision learners

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.043952Z

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Observation ec1d638b-0758-4556-8c85-07fa7e24494a · outbound

This paper cites and Fedorenko, E.

Layer by Layer: Uncovering Hidden Representations in Language Models and Fedorenko, E

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.047393Z

Source-reported events for the cited work

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Observation cee485c9-3fd3-4211-a9da-16700ad40b26 · outbound

This paper cites Exploring concept depth: How large language models acquire knowledge at different layers? arXiv.

Layer by Layer: Uncovering Hidden Representations in Language Models Exploring concept depth: How large language models acquire knowledge at different layers? arXiv

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.050733Z

Source-reported events for the cited work

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Observation e60bba0a-3537-4b3f-972e-95223c355eb5 · outbound

This paper cites The remarkable robustness of LLMs : Stages of inference? arXiv.

Layer by Layer: Uncovering Hidden Representations in Language Models The remarkable robustness of LLMs : Stages of inference? arXiv

Reference 34

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Observation cdf2df38-37f7-4505-bfbe-904b8769cc03 · outbound

This paper cites Competition-level code generation with alphacode.

Layer by Layer: Uncovering Hidden Representations in Language Models Competition-level code generation with alphacode

Reference 35

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Observation 85f6fca0-b958-4937-b2ad-6160991b1c17 · outbound

This paper cites F., Gardner, M., Belinkov, Y., Peters, M.

Layer by Layer: Uncovering Hidden Representations in Language Models F., Gardner, M., Belinkov, Y., Peters, M

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.062186Z

Source-reported events for the cited work

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Observation f593855e-1962-4d13-8321-18784fb2855d · outbound

This paper cites NLP Augmentation.

Layer by Layer: Uncovering Hidden Representations in Language Models NLP Augmentation

Reference 37

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Source-reported events for the cited work

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Layer by Layer: Uncovering Hidden Representations in Language Models Unresolved cited work

Reference 38

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Observation 2d5525be-969b-41e8-87d3-f1cb9acd05a8 · outbound

This paper cites A., Stephenson, C., Tang, H., Kim, Y., and Chung, S.

Layer by Layer: Uncovering Hidden Representations in Language Models A., Stephenson, C., Tang, H., Kim, Y., and Chung, S

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.073808Z

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This paper cites E., and Biau, G.

Layer by Layer: Uncovering Hidden Representations in Language Models E., and Biau, G

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.077829Z

Source-reported events for the cited work

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Observation 9aeccf3a-b7ab-4c26-8618-feeb9dfa2c8d · outbound

This paper cites Pointer sentinel mixture models.

Layer by Layer: Uncovering Hidden Representations in Language Models Pointer sentinel mixture models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.081497Z

Source-reported events for the cited work

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Observation 9f89fbd7-2862-4f19-aef7-a7de770fb782 · outbound

This paper cites MTEB : Massive text embedding benchmark.

Layer by Layer: Uncovering Hidden Representations in Language Models MTEB : Massive text embedding benchmark

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.085002Z

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Observation 70133523-81d8-42ab-a961-10872372a895 · outbound

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Layer by Layer: Uncovering Hidden Representations in Language Models Unresolved cited work

Reference 43

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Observation cddf6fa1-a8d0-421b-89fe-3a642202d458 · outbound

This paper cites DINOv2 : Learning robust visual features without supervision.

Layer by Layer: Uncovering Hidden Representations in Language Models DINOv2 : Learning robust visual features without supervision

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.093264Z

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Observation a1c4358d-6ce4-4589-9061-ea124867fcb5 · outbound

This paper cites J., Jiang, Y., and Veitch, V.

Layer by Layer: Uncovering Hidden Representations in Language Models J., Jiang, Y., and Veitch, V

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.096853Z

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Observation 948aa19f-04aa-487d-ab32-63f6e98a8fb5 · outbound

This paper cites J., and Veitch, V.

Layer by Layer: Uncovering Hidden Representations in Language Models J., and Veitch, V

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.100961Z

Source-reported events for the cited work

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Observation d274b3ba-686b-44d9-a6f4-e8a2aff34b3e · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Layer by Layer: Uncovering Hidden Representations in Language Models W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.105526Z

Source-reported events for the cited work

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Observation 7a07a15d-d55b-4d72-9209-848ff6586e79 · outbound

This paper cites SVCCA : Singular vector canonical correlation analysis for deep learning dynamics and interpretability.

Layer by Layer: Uncovering Hidden Representations in Language Models SVCCA : Singular vector canonical correlation analysis for deep learning dynamics and interpretability

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.109706Z

Source-reported events for the cited work

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Observation 09a3a45c-3920-474a-9295-ac6fb0456871 · outbound

This paper cites The shape of learning: Anisotropy and intrinsic dimensions in transformer-based models.

Layer by Layer: Uncovering Hidden Representations in Language Models The shape of learning: Anisotropy and intrinsic dimensions in transformer-based models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.113573Z

Source-reported events for the cited work

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Observation 3f5ebba4-8c44-4db8-bed3-7dc8b457e205 · outbound

This paper cites On measures of entropy and information.

Layer by Layer: Uncovering Hidden Representations in Language Models On measures of entropy and information

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T16:30:37.117793Z

Source-reported events for the cited work

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Observation a4f8ff2b-e03b-4743-ae57-06779f53984f · outbound

This paper cites and Vetterli, M.

Layer by Layer: Uncovering Hidden Representations in Language Models and Vetterli, M

Reference 51

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Layer by Layer: Uncovering Hidden Representations in Language Models V., Stadelmann, T., and Grewe, B

Reference 52

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Layer by Layer: Uncovering Hidden Representations in Language Models and Smola, A

Reference 53

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Layer by Layer: Uncovering Hidden Representations in Language Models Information flow in deep neural networks

Reference 54

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Layer by Layer: Uncovering Hidden Representations in Language Models and Tishby, N

Reference 55

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Layer by Layer: Uncovering Hidden Representations in Language Models G., and LeCun, Y

Reference 56

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Layer by Layer: Uncovering Hidden Representations in Language Models Neural representational geometry underlies few-shot concept learning

Reference 59

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Layer by Layer: Uncovering Hidden Representations in Language Models BERT rediscovers the classical nlp pipeline

Reference 60

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Layer by Layer: Uncovering Hidden Representations in Language Models M., and Littwin, E

Reference 61

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Layer by Layer: Uncovering Hidden Representations in Language Models Contrastive multiview coding

Reference 62

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Layer by Layer: Uncovering Hidden Representations in Language Models Llama 2: Open foundation and fine-tuned chat models

Reference 63

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Layer by Layer: Uncovering Hidden Representations in Language Models The geometry of hidden representations of large transformer models

Reference 64

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Layer by Layer: Uncovering Hidden Representations in Language Models N., Kaiser, L

Reference 65

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Layer by Layer: Uncovering Hidden Representations in Language Models The bottom-up evolution of representations in the transformer: A study with machine translation and language modeling objectives

Reference 66

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Layer by Layer: Uncovering Hidden Representations in Language Models Diff-eRank : A novel rank-based metric for evaluating large language models

Reference 67

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Layer by Layer: Uncovering Hidden Representations in Language Models Efficient streaming language models with attention sinks

Reference 68

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Layer by Layer: Uncovering Hidden Representations in Language Models Qwen2.5 technical report

Reference 69

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Reference 70

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Layer by Layer: Uncovering Hidden Representations in Language Models and Liu, D

Reference 71

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Layer by Layer: Uncovering Hidden Representations in Language Models Székely and Maria L

Reference 72

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Reference 73

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Layer by Layer: Uncovering Hidden Representations in Language Models DeepSeek-

Reference 75

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Layer by Layer: Uncovering Hidden Representations in Language Models Not all layers of

Reference 87

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Pith citing papers

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Elucidating Subspace Perturbation in Zeroth-Order Optimization: Theory and Practice at Scale cites this paper.

Elucidating Subspace Perturbation in Zeroth-Order Optimization: Theory and Practice at Scale Layer by Layer: Uncovering Hidden Representations in Language Models

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Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis cites this paper.

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Learning Interpretable Representations Leads to Semantically Faithful EEG-to-Text Generation cites this paper.

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TRACE for Tracking the Emergence of Semantic Representations in Transformers cites this paper.

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BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models Layer by Layer: Uncovering Hidden Representations in Language Models

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Rethinking the Understanding Ability across LLMs through Mutual Information cites this paper.

Rethinking the Understanding Ability across LLMs through Mutual Information Layer by Layer: Uncovering Hidden Representations in Language Models

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Mixture-of-Experts for Personalized and Semantic-Aware Next Location Prediction Layer by Layer: Uncovering Hidden Representations in Language Models

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The Generalization Ridge: Information Flow in Natural Language Generation cites this paper.

The Generalization Ridge: Information Flow in Natural Language Generation Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 10

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Observation e63889f9-8b2f-4859-ba78-abafe48faaa9 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 96

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Observation 986bf3e7-c475-4689-8ffb-a0a7508a53d1 · inbound

Tiny Reward Models cites this paper.

Tiny Reward Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 41

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Observation c26df17d-df75-4dfd-9e5b-f09f6607941d · inbound

Enhancing Cross-task Transfer of Large Language Models via Activation Steering cites this paper.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 35

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Observation 75c65697-76fd-41a9-8427-7b2a413cf990 · inbound

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning cites this paper.

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 58

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Observation 8fc0d314-0d4d-48bc-9497-53fbcc73747a · inbound

Layerwise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models cites this paper.

Layerwise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 22

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Source-reported events for the cited work

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Observation 9c91241a-debf-4e80-a783-da2bdf65a134 · inbound

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking cites this paper.

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 34

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Unavailable: canonical work link unavailable.

Observation 6119f402-35ea-4626-abc0-ad606cedb02f · inbound

Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training cites this paper.

Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 26

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Unavailable: canonical work link unavailable.

Observation d8738f86-aa29-4df8-809c-ad338e73fd5c · inbound

EvolKV: Evolutionary KV Cache Compression for LLM Inference cites this paper.

EvolKV: Evolutionary KV Cache Compression for LLM Inference Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ab11fc-7e79-42a3-b60f-f2c392629488 · inbound

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs cites this paper.

Reinforcement Learning Improves Traversal of Parametric Knowledge in LLMs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T23:27:37.302772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16697031-5ad6-4c31-8449-ea9662681579 · inbound

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T18:50:30.251328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 117f3b57-dbf6-4ea1-8824-773c880e3bef · inbound

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations cites this paper.

You Had One Job: Per-Task Quantization Using LLMs' Hidden Representations Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-03T23:21:41.258490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37c9b1ad-76a6-4247-a8a7-b074a68ec74c · inbound

LTX-2: Efficient Joint Audio-Visual Foundation Model cites this paper.

LTX-2: Efficient Joint Audio-Visual Foundation Model Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 12e4354c-2f55-497a-bb8f-2c392140af50 · inbound

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T10:40:51.366510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 192ce5e2-8039-4af1-b63f-51d22e88d3f1 · inbound

From Words to Amino Acids: Does the Curse of Depth Persist? cites this paper.

From Words to Amino Acids: Does the Curse of Depth Persist? Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-15T19:16:30.957867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d3364af-3104-4d76-bdfd-3177e8274d77 · inbound

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs cites this paper.

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f495359f-8576-4650-8afd-74a105c47da5 · inbound

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs cites this paper.

A Comparative analysis of Layer-wise Representational Capacity in AR and Diffusion LLMs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T05:57:08.053888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 638a2585-c086-470b-8259-643c3d5e8fa5 · inbound

Overcoming the Modality Gap in Context-Aided Forecasting cites this paper.

Overcoming the Modality Gap in Context-Aided Forecasting Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 957c7492-96a2-4e34-bc96-c2f07eef6d15 · inbound

Overcoming the Modality Gap in Context-Aided Forecasting cites this paper.

Overcoming the Modality Gap in Context-Aided Forecasting Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T18:22:23.210467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2e27c0-0185-4349-8c9e-074d358fb090 · inbound

Entropy and Attention Dynamics in Small Language Models: A Trace-Level Structural Analysis on the TruthfulQA Benchmark cites this paper.

Entropy and Attention Dynamics in Small Language Models: A Trace-Level Structural Analysis on the TruthfulQA Benchmark Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T12:56:04.388200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86d5bae5-eaf0-4d57-a865-d7c846bb7149 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05ea5b76-5c40-473a-9f5b-f2edf56ccfbc · inbound

Do Vision Language Models Need to Process Image Tokens? cites this paper.

Do Vision Language Models Need to Process Image Tokens? Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6fa136fe-6294-481e-95b1-efd45dff5e81 · inbound

Instruction Data Selection via Answer Divergence cites this paper.

Instruction Data Selection via Answer Divergence Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1428d06-fd34-41e6-b9f1-ba564b5932ad · inbound

Intermediate Layers Encode Optimal Biological Representations in Single-Cell Foundation Models cites this paper.

Intermediate Layers Encode Optimal Biological Representations in Single-Cell Foundation Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a70ab8c0-4922-4f38-8042-3a31b02f79ff · inbound

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction cites this paper.

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T19:12:16.091691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e52f2f-783e-4fb6-9789-9ce9ea585a54 · inbound

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception cites this paper.

Adaptive Forensic Feature Refinement via Intrinsic Importance Perception Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b26e66c1-9b55-4b1b-a1fe-557aa2971347 · inbound

Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models cites this paper.

Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4b800ca-a3da-43b0-a7b1-a1fda654f7fb · inbound

LLM Safety From Within: Detecting Harmful Content with Internal Representations cites this paper.

LLM Safety From Within: Detecting Harmful Content with Internal Representations Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f7f73460-4eea-43f4-831a-a40f8a250b64 · inbound

Semantic Structure of Feature Space in Large Language Models cites this paper.

Semantic Structure of Feature Space in Large Language Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66cd463d-9cce-4dd3-a969-3fda975097e5 · inbound

Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions cites this paper.

Why Do LLMs Struggle in Strategic Play? Broken Links Between Observations, Beliefs, and Actions Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 059b7852-da1f-4841-986f-df280b06a196 · inbound

Large Vision-Language Models Get Lost in Attention cites this paper.

Large Vision-Language Models Get Lost in Attention Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fa66e777-f9b3-4610-b8f5-54146f3c7af4 · inbound

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation cites this paper.

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 216d043b-7da5-4d20-9463-6e1dae92f61c · inbound

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation cites this paper.

FlashAR: Efficient Post-Training Acceleration for Autoregressive Image Generation Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7587f3a6-0db6-483d-bcf9-80e09e5c6538 · inbound

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation cites this paper.

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c7d2fbb-10e7-4364-98f0-c8efa3d627c8 · inbound

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation cites this paper.

Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 78

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f5eba219-5514-426a-b3e2-24fb9a78b747 · inbound

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement cites this paper.

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2d9ec589-cfb8-4756-bf8c-b3f019891e01 · inbound

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs cites this paper.

UniVLR: Unifying Text and Vision in Visual Latent Reasoning for Multimodal LLMs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1ac69b58-fa81-4e4a-83c0-e0db3887e24e · inbound

Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs cites this paper.

Layer-wise Representation Dynamics: An Empirical Investigation Across Embedders and Base LLMs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab1d68ba-7668-402c-a8b7-de2badcacc9a · inbound

Inference-Time Machine Unlearning via Gated Activation Redirection cites this paper.

Inference-Time Machine Unlearning via Gated Activation Redirection Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T16:30:37.615120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0ab0069-b266-4531-96c3-b9cb8b0f73c5 · inbound

Inference-Time Machine Unlearning via Gated Activation Redirection cites this paper.

Inference-Time Machine Unlearning via Gated Activation Redirection Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 37

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T21:59:06.030088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09754284-151c-4362-9b70-e18ee34a924c · inbound

Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts cites this paper.

Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-30T21:55:05.801380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation afc4691a-c24e-4cd5-8a17-12f162a38a2b · inbound

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability cites this paper.

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T10:11:23.173954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aba8df6f-183a-4e0e-81e6-b5e580d37ab2 · inbound

Scale Determines Whether Language Models Organize Representation Geometry for Prediction cites this paper.

Scale Determines Whether Language Models Organize Representation Geometry for Prediction Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-20T15:33:25.671690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 567c69c1-f9d6-452e-8563-9a178b1478cd · inbound

Uncovering the Latent Potential of Deep Intermediate Representations cites this paper.

Uncovering the Latent Potential of Deep Intermediate Representations Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 40

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T05:36:39.306766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5319dda-ab9b-4ebc-8370-c6657b1d371f · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T12:24:39.165800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4e39a470-2357-42d4-8e2b-3bdb59bd1bba · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T00:39:16.287745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 25fbb8c4-dd70-4ea6-a349-250c75b9e57b · inbound

NITP: Next Implicit Token Prediction for LLM Pre-training cites this paper.

NITP: Next Implicit Token Prediction for LLM Pre-training Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-14T18:45:28.635910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541ca24b-dfc0-40a5-aefd-c12c873b6d0b · inbound

Automatic Layer Selection for Hallucination Detection cites this paper.

Automatic Layer Selection for Hallucination Detection Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T22:04:00.849175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc842d94-a698-496a-97a6-71162001cd37 · inbound

Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations cites this paper.

Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T12:33:24.299685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 57cacfe0-845e-4b47-90e2-ace280556329 · inbound

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation cites this paper.

DREAM-S: Speculative Decoding with Searchable Drafting and Target-Aware Refinement for Multimodal Generation Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-06-28T19:02:34.576108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 381184eb-eb0e-42a0-a616-12d7dae7f8b2 · inbound

QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving cites this paper.

QCFuse: Query-Aware Cache Fusion via Compressed View for Efficient RAG Serving Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-02T12:46:57.480466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f9c7fbb-4257-415a-9807-d692378722b9 · inbound

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering cites this paper.

EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T17:17:15.127594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e354138e-2f39-4995-bb07-f471f1f6f56a · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 74

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S-JEPA : Soft Clustering Anchors for Self-Supervised Speech Representation Learning cites this paper.

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Reference 37

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Observation eea63741-de8d-4b39-87db-b886eeed383e · inbound

Tapered Language Models cites this paper.

Tapered Language Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 34

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Observation b5dddb1c-5b71-4699-91c6-299d0ce48e54 · inbound

Fast Wireless Foundation Models with Early-Exits cites this paper.

Fast Wireless Foundation Models with Early-Exits Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 16

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Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization cites this paper.

Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T09:25:41.253949Z

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Observation 31b1d2d6-8bbc-47de-8a5d-177f51135a2b · inbound

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table cites this paper.

ElemeNet: Multiscale Molecular Machine Learning with Uncertainty Quantification Across the Periodic Table Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-01T00:55:11.460664Z

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Observation 867a91c2-2f74-4ad7-9047-f14110be65fe · inbound

Information-Regularized Attention for Visual-Centric Reasoning cites this paper.

Information-Regularized Attention for Visual-Centric Reasoning Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 16

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Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG cites this paper.

Probe, Don't Prompt: A Hidden-State Probe for Metadata Filtering in Multi-Meta-RAG Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 10

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InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective cites this paper.

InsideSSL: Understanding Self-Supervised Speech Representations using a Model-Centric Perspective Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-08T07:34:43.095089Z

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Observation c5fd4910-575a-4f6e-b630-6feb93611ff0 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 152

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Observation c23ece97-f158-4978-9fba-ed8aa731dc5b · inbound

Representation Trajectories Matters: Complementary Evidence for OOD Detection and Image Classification cites this paper.

Representation Trajectories Matters: Complementary Evidence for OOD Detection and Image Classification Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-01T13:20:37.546194Z

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Observation fb6ffc55-2fdb-4cc1-b425-57bc77fd86ea · inbound

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates cites this paper.

Efficient LLM Adversarial Training via Low-Rank Defense and Circuit-Guided Surrogates Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 24

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Unavailable: canonical work link unavailable.

Observation c78f88d9-d7b6-4b1d-8153-6867186725db · inbound

Divergent large language model predictions from convergent representations in ambiguous word pairs cites this paper.

Divergent large language model predictions from convergent representations in ambiguous word pairs Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T20:22:23.021410Z

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Observation 62f72406-c10e-48c5-811f-6bbf8a4b46d6 · inbound

Task- and dataset-specific information in protein language models cites this paper.

Task- and dataset-specific information in protein language models Layer by Layer: Uncovering Hidden Representations in Language Models

Reference 12

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