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Paper Citation Record · LEDGER

Does Representation Matter? Exploring Intermediate Layers in Large Language Models

As of 15 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 19 inbound Pith citation observations for arXiv:2412.09563.

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

pith.paper-citation-record.v1
2412.09563 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:59:58.529650Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:11:10.610050Z

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

46 of 46 outbound references displayed

  • verified exact0
  • verified fuzzy39
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b8647aa1-f217-46f2-9d37-6d222eb829f6 · outbound

This paper cites - ReQ : Assessing representation quality in self-supervised learning by measuring eigenspectrum decay.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models - ReQ : Assessing representation quality in self-supervised learning by measuring eigenspectrum decay

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.239572Z digest=sha256:fef47a34c101674ab2cf3af36660a8b4f1c01882005404f61c0a2d2160785b62

Observation 0fcb49b4-e382-4e75-a633-857e7e568ca5 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Understanding intermediate layers using linear classifier probes

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.431444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.245580Z digest=sha256:ce787bf945b07af386ce9033507dca621a8010a00a73cd9234f2f1ed72d77fc9

Observation 5de5f0c6-8735-4478-9118-d4f209dbd2a2 · outbound

This paper cites Information theory with kernel methods.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Information theory with kernel methods

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.412492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.251972Z digest=sha256:afdf2759e9b2759707550c48ceba500847217cca6a31c86a9df2c1aaff20ac34

Observation 403b2822-ad4b-438a-9949-9ea4598aa1b4 · outbound

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models LLM2Vec : Large language models are secretly powerful text encoders

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.389633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.257934Z digest=sha256:b78f5accc261c5a4ebf6315a1f92938710967df83f47bf6f4c3a373ca3ea84e4

Observation e20e718f-735d-4f82-8d05-6e0b13d55ccc · outbound

This paper cites Reverse engineering self-supervised learning.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Reverse engineering self-supervised learning

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.264631Z digest=sha256:31999df04f6c54bdbb66d86f6ba74c7ec98a86552246a3a85361146af546475e

Observation da585faa-585f-45f4-a9f6-f6283b5cd518 · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Pythia: A suite for analyzing large language models across training and scaling

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.350609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.272426Z digest=sha256:11ce1ea8c2ecfd424235bd89c2ad7db15db2e63d3cce62270ab92db61fbbe26d

Observation ee0cd27c-bc51-4a34-95cf-4a0efa005ae6 · outbound

This paper cites Von neumann entropy from unitarity.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Von neumann entropy from unitarity

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.330440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.280581Z digest=sha256:f0b1dcd44cd63f3b77e73e720a8400dc37e53c5fe0a0f642e3b6cd068f2b6e9d

Observation 252af3a0-32fe-496d-b770-159dc1611fea · outbound

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Guillotine regularization: Why removing layers is needed to improve generalization in self-supervised learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.312889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.287359Z digest=sha256:33440d0580c2e37853cb571f32ff0a80fd857cb9e1362ad61fde34d29f54db1d

Observation 84cd2541-21cf-4877-819b-789c6a31dbaf · outbound

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Discovering latent knowledge in language models without supervision

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.295565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.292959Z digest=sha256:6b85351d74da4d685d4187d460d30f4269e6098480bedda719d7981093f63e10

Observation bec19c3a-62fa-41eb-8a27-fb611418551f · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models A simple framework for contrastive learning of visual representations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.299763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:59:58.299763Z digest=sha256:3a20cd3800abb5a0694f1c2897b7c823bc38296c07cf45e4bdca246a1af9ddb7

Observation 0475d2d5-f1e4-4667-b804-ef5fc3e69b1a · outbound

This paper cites Improved baselines with momentum contrastive learning.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Improved baselines with momentum contrastive learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.261257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.304969Z digest=sha256:8d00dc5734b956178fcbf205bf556428b615ee714c0c3fbe15de6569d9514199

Observation 8751f97a-40df-4d1c-bb67-55b8092892e7 · outbound

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Not all layers of llms are necessary during inference

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.243854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.312493Z digest=sha256:88d029a100169fcaabde7b514bdc9a0cb6bd433a230d724ec198eca09f90f9ca

Observation 9137c9ab-16a5-4ad0-8fc0-2318a4009424 · outbound

This paper cites The pile: An 800gb dataset of diverse text for language modeling.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models The pile: An 800gb dataset of diverse text for language modeling

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.225071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f25b1098-4151-4421-9646-d882a7ae7536 · outbound

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models RankMe : Assessing the downstream performance of pretrained self-supervised representations by their rank

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.205665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.326612Z digest=sha256:d1118c2ba239b4cccf76cef7547ee8939360e4b89a0a31d651ba5e485d3bf6ce

Observation e37ec127-b3da-4dca-8dca-4124251a9bef · outbound

This paper cites Measures of entropy from data using infinitely divisible kernels.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Measures of entropy from data using infinitely divisible kernels

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.187233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3c457f0d-e4d1-42d6-bb0d-f6a21456931a · outbound

This paper cites Mamba: Linear-time sequence modeling with selective state spaces.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Mamba: Linear-time sequence modeling with selective state spaces

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation c3b5ace5-8ea3-4a3c-b5c8-264fd6de3c34 · outbound

This paper cites Language models represent space and time.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Language models represent space and time

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.344107Z digest=sha256:daafb3fd6cff6881a9694a0807108e59ffe0c62120c5681b41a0cd9b9a0087a7

Observation 10a0d534-96ed-42d1-9636-3051ec5b8664 · outbound

This paper cites The dip test of unimodality.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models The dip test of unimodality

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.129052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2ce3976b-12b1-405c-9125-e4edb620bd2e · outbound

This paper cites Measuring massive multitask language understanding.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Measuring massive multitask language understanding

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.357033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e6604718-053a-4efb-b0cf-b604d790d1eb · outbound

This paper cites Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural language

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.093063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2978b2ec-0cbd-40f8-976c-057eaf0fdfa4 · outbound

This paper cites Exploring concept depth: How large language models acquire knowledge at different layers? arXiv, 2024.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Exploring concept depth: How large language models acquire knowledge at different layers? arXiv, 2024

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.072428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f4da9fec-29ac-4656-b673-c6968ee5bce4 · outbound

This paper cites The remarkable robustness of llms: Stages of inference? arXiv, 2024.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models The remarkable robustness of llms: Stages of inference? arXiv, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.052280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.377401Z digest=sha256:ff8c9073685520226d90ad0199af508ba7bcf6c3dc61fe39df2ba70d3b1b5f51

Observation dc689ede-0c1f-4f62-9851-250d60321b01 · outbound

This paper cites Linguistic knowledge and transferability of contextual representations.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Linguistic knowledge and transferability of contextual representations

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.030438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.383326Z digest=sha256:295b7c667d9a34b63f1240937c16e8ca4b264de5da8d6b3ab47573c282fabf1c

Observation 2587c43a-bffc-46e4-bc8e-40d2bb1979a4 · outbound

This paper cites Bm25s: Orders of magnitude faster lexical search via eager sparse scoring, 2024.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Bm25s: Orders of magnitude faster lexical search via eager sparse scoring, 2024

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:59.008977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.388662Z digest=sha256:028085d174b00ec12ea1e44b9140e2e8e6ae74801c569e0bcec372df8f4f0449

Observation 4c13fe07-e520-480d-9121-77eaad4163b7 · outbound

This paper cites Nlp augmentation.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Nlp augmentation

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.396374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:59:58.396374Z digest=sha256:0d5687e004cba211e349af4fef76693e04e38be29e71a6c1ce632f66bc238e34

Observation 2ee87086-ec0d-4961-b1a3-d9af39d1390a · outbound

This paper cites Eliciting latent knowledge from quirky language models.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Eliciting latent knowledge from quirky language models

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.968684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.403884Z digest=sha256:75357320a8908b349b07f917aa9acadb2dcd86fe514a4b0042db7f13d866444b

Observation def7d528-8650-450a-988e-2c439e16eb77 · outbound

This paper cites Emergence of separable manifolds in deep language representations.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Emergence of separable manifolds in deep language representations

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.947593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.411453Z digest=sha256:0194704766fe751ad1bc028593c656d7595ee1e9f361580e7b7151ba8cc96476

Observation 776250be-3cd4-4715-a6bb-a346bb3b7e83 · outbound

This paper cites Pointer sentinel mixture models.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Pointer sentinel mixture models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.417597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:59:58.417597Z digest=sha256:cc2e4e092817ca6bf8c4bf97f6e459a931e0a6458bae465954ef1f392be55a0a

Observation dafe7464-c6e8-4be7-8219-061c111b0b56 · outbound

This paper cites MTEB : Massive text embedding benchmark.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models MTEB : Massive text embedding benchmark

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.915973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.424140Z digest=sha256:1f266b28cc108a3efc55f89484fb03d459917992e55d23bdd32939b58c653545

Observation 6a63692e-533e-470e-9142-9381aa6d4aac · outbound

This paper cites Representation learning with contrastive predictive coding.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Representation learning with contrastive predictive coding

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.899432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.430658Z digest=sha256:500285f9736c16b86c48ebff9a293186bec3d2524ef2a5431905a13516bd960c

Observation b15f9091-dfcc-45a1-8792-fa47dfef9f6c · outbound

This paper cites The linear representation hypothesis and the geometry of large language models.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models The linear representation hypothesis and the geometry of large language models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.436277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:59:58.436277Z digest=sha256:f06941f71562358164c0a23fefb7b65bcd4070c77b27de03b763386db319904b

Observation 6c5a641c-02f6-4511-8633-d95cac1e7548 · outbound

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

Does Representation Matter? Exploring Intermediate Layers in Large Language Models SVCCA : Singular vector canonical correlation analysis for deep learning dynamics and interpretability

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.867730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.441864Z digest=sha256:1648f34f0bbd7783c013167d9b60cc38b5af65ff7dace39c593d3f419fd744ef

Observation 79b14e42-5124-419a-968e-3114576dd1bf · outbound

This paper cites On measures of entropy and information.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models On measures of entropy and information

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.847190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.447319Z digest=sha256:913412d2aac680e07c47c69e74bbaf7749aa76f25fa2215d465fdd251ea4cdcd

Observation ae3a0da4-4863-453b-a533-92275db7860f · outbound

This paper cites Learning with kernels: support vector machines, regularization, optimization, and beyond.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Learning with kernels: support vector machines, regularization, optimization, and beyond

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.459229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:59:58.459229Z digest=sha256:e24da8fb755827e5bc855751a0fd9a6667eec8fe56d1eb1b5904db213f3d479c

Observation 41e8e436-f8ac-4c0d-bcdc-6bd843e484dd · outbound

This paper cites Information flow in deep neural networks.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Information flow in deep neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.804592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.465207Z digest=sha256:6fa3a31ded7923e32eb42ae334dafab3e7748e1cc0a0a04fbc6305fe635ea6a9

Observation 02c0c162-acfe-4451-8762-ff7390af7e5c · outbound

This paper cites To compress or not to compress—self-supervised learning and information theory: A review.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models To compress or not to compress—self-supervised learning and information theory: A review

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.783971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.471525Z digest=sha256:a75455f4bd6140f7f1a379f14d8bf9a485266e2361b41fb53c8bd1baf7cd4d2b

Observation 3f88e32a-defe-466b-9dd6-c16ad326b499 · outbound

This paper cites Opening the black box of deep neural networks via information.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Opening the black box of deep neural networks via information

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.760557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.478715Z digest=sha256:f12ae0731b10d4001aabb4a87434290f2545c593bf436694d45e6f6fb71aa122

Observation 57eefbb0-a783-4e84-b6ee-1bb622acd7dc · outbound

This paper cites An information theory perspective on variance-invariance-covariance regularization.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models An information theory perspective on variance-invariance-covariance regularization

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.741017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.485928Z digest=sha256:bcf1e60cf473e811ae0d73a21334d906ee9236c9460b0e05d70671e5a9c19c94

Observation 348dd29d-84f1-486d-bcdc-a0cc1c2a0206 · outbound

This paper cites DiME : Maximizing mutual information by a difference of matrix-based entropies.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models DiME : Maximizing mutual information by a difference of matrix-based entropies

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.724194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.492162Z digest=sha256:2413cd8cf1ec2cdf98ec382b333497cf940e39d849a961fcae8189e39f9ce275

Observation d7ebeb4c-b577-4205-9341-f1d8853a1e02 · outbound

This paper cites FroSSL : Frobenius norm minimization for self-supervised learning.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models FroSSL : Frobenius norm minimization for self-supervised learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.703237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.497329Z digest=sha256:5bec69b2852c8f03759a3999e7de4a7c6a950047aebf0833cd23e8483a56d24c

Observation ae13b451-82a5-4cf8-bf56-4ca31b96eeb6 · outbound

This paper cites LiDAR : Sensing linear probing performance in joint embedding ssl architectures.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models LiDAR : Sensing linear probing performance in joint embedding ssl architectures

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.681102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.503009Z digest=sha256:e40cf9e1c41161dd50c83e301f2597f6bb000f0aa7dd6cfc6651ef5aea813daa

Observation e95cfbbb-56f9-4b33-ac31-3340c17a7f91 · outbound

This paper cites Attention is all you need.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Attention is all you need

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.662687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.508265Z digest=sha256:5d1aa4b644b630d13fb511c06473ca745767fbc9e1b00133442a3fd20cc1cbe8

Observation 8960f90a-2d51-4115-bf7e-2a277083e56e · outbound

This paper cites Ai medical chatbot dataset, 2024.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Ai medical chatbot dataset, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.642774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.513078Z digest=sha256:236c27204ca184217ca9e3927d4b5fbadb816f2e9d8aa4646361d9316404be5f

Observation 9dec3861-1cbc-40b0-810e-51971eab37d2 · outbound

This paper cites Large language model evaluation via matrix entropy.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Large language model evaluation via matrix entropy

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.623690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.518797Z digest=sha256:6514a8e9f2d5eb97619ca2f3b7580bafc67bc117289d18a6e33a0b2c57497a5f

Observation dea4c476-7c63-4585-a548-76eadfb7caaf · outbound

This paper cites Understanding neural networks with logarithm determinant entropy estimator.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models Understanding neural networks with logarithm determinant entropy estimator

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T16:59:58.603144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T16:59:58.524513Z digest=sha256:40fdc8ca2decf60942e37c2e9d0b78ee9b894860bf40f15274a44ba6cabeda30

Observation 968f44f2-133b-4cc5-b88e-ce9a95b62156 · outbound

This paper cites write newline.

Does Representation Matter? Exploring Intermediate Layers in Large Language Models write newline

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T16:59:58.529650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:59:58.529650Z digest=sha256:d7ab585f7852111cb42a15855a123337cdc8d885b5dba3c1a4f0785a847f110b

Pith citing papers

Observation 38741e9c-cc6e-40cf-ba4d-b36f15a7284d · inbound

GeAR: Generation Augmented Retrieval cites this paper.

GeAR: Generation Augmented Retrieval Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T22:11:10.610050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:11:10.610050Z digest=sha256:c4557aca13e3777fe2e0297acf9aff54b2d6792b86a9fc31cc165b81478ce6fd

Observation f7266d44-4367-4cd9-a15a-43d57ceda7f9 · inbound

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer cites this paper.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:12:09.311351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:12:09.311351Z digest=sha256:7494e97bc9aed60b55d3401f6c126a7e9f4a1dbae2170c4738b0b9a4fc3a5206

Observation 4d77eb05-aa9f-4983-84ec-cfa0e317add9 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:41.221886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:bac30d20d644466d1a38e169fea798554102ae6a13993132fae05bf19c79b40e

Observation 7dabb801-295a-4f10-89af-fd05c45770ad · inbound

Advancing LLM Safe Alignment with Safety Representation Ranking cites this paper.

Advancing LLM Safe Alignment with Safety Representation Ranking Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:18.301774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:18.301774Z digest=sha256:02e76e29284f11d32966a0d2f9421db984932b6f45b61264718287c2c4ac6064

Observation d2feb8d8-cc01-4e7a-a99c-877556bd1d68 · inbound

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models cites this paper.

BiggerGait: Unlocking Gait Recognition with Layer-wise Representations from Large Vision Models Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:51.932947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:51.932947Z digest=sha256:875b6c1bd51a0fb2964dafed953e1bbd529cd1687b3b5ea0b79b7a88197fafc7

Observation aedf8f49-539e-4d43-af3f-bac88ca07f90 · inbound

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? cites this paper.

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs? Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:50:10.866679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:50:10.866679Z digest=sha256:4d163feb8401bba187e2cf665a6048742f98c45972395ac4e34b8b4139a9f515

Observation 38a3f17b-1e7b-4750-8d14-2786b2ee0665 · inbound

Spectral Insights into Data-Oblivious Critical Layers in Large Language Models cites this paper.

Spectral Insights into Data-Oblivious Critical Layers in Large Language Models Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:26.356859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:11:26.356859Z digest=sha256:f0f377a2c012ee1381565f8f1fd66ab29e40948fe8b47791ed068584a39a6790

Observation ff316dfd-fd58-432e-9605-7b1e0d75d9ae · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:37:15.991021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T11:34:09.428653Z digest=sha256:690d9fb403ed71ee75caedd77f0750f8333e15cbeac07499cf1569e231fe77f3

Observation 1916055a-3fc4-41a4-baa6-59cd3dbda793 · inbound

A Survey on Latent Reasoning cites this paper.

A Survey on Latent Reasoning Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:30.944067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:14:30.944067Z digest=sha256:5555d7bc61a2e31f277e057bc6f62f23747c75ec899f365224f616f77f2def4d

Observation 373880ed-9c1a-4766-85ec-f8f70bcf066e · 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 Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-05T21:10:35.662275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:10:35.662275Z digest=sha256:819dfbaa59eba39de924e448b478117b1f04f2e1169eaee2fb451d69477a2d8d

Observation ef612357-ad60-4f53-8d6f-859b207a5135 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:17:36.670300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-16T08:12:55.296932Z digest=sha256:6750c537b075a543a0f8c18516c82218d5417c7294ecdc70d7ddbe140cdf9d06

Observation 6565c4b6-7872-47dd-b75f-610c35b78769 · inbound

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks cites this paper.

Language-Pretraining-Induced Bias: A Strong Foundation for General Vision Tasks Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:08:17.595243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-13T21:07:34.826584Z digest=sha256:71e13c0b09ab071032e72dc2ea300d97705d7fbf0aa85855a59fcd75db55c047

Observation 25463d7c-8fc2-4e78-9dbb-692e3a575feb · inbound

Towards Understanding the Robustness of Sparse Autoencoders cites this paper.

Towards Understanding the Robustness of Sparse Autoencoders Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T05:46:10.239416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T05:44:24.532548Z digest=sha256:bee58cfe5b9ed11a0a0ec521d4daa020a34098928cb313c2ed9ae720ce62b267

Observation 839fe2ab-6414-47f0-8007-1fd57429caab · inbound

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

Geometry of Human Perceptual Domains Emerges Transiently in LLM Representations Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:33:24.311509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T12:31:21.660647Z digest=sha256:796f67e27e8ea453a9f22568d22d616475a5185f819a49884e9bc7852165a14b

Observation 7724db8c-cf5b-404d-9bfc-f207366167ab · inbound

Decomposing how prompting steers behavior cites this paper.

Decomposing how prompting steers behavior Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:46:28.660348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T10:39:58.885284Z digest=sha256:371dba80881c6cfb49287bb3c55a6bcac28584c0aed81ce53fe28bbb7576866c

Observation b8fcbd11-3213-425d-9e49-60b9082053de · inbound

LLM Self-Recognition: Steering and Retrieving Activation Signatures cites this paper.

LLM Self-Recognition: Steering and Retrieving Activation Signatures Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-06-28T01:41:29.175499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-28T01:41:03.518190Z digest=sha256:fec698bc7dda461a268a001547226f19da4215bedca9e6415339dcf769f50cd7

Observation 825188cc-1c04-45fb-9310-a17128143aaf · inbound

GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation cites this paper.

GraphLoRA: Structure-Aware Low-Rank Adaptation for Large Language Model Recommendation Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-07-05T15:21:13.051880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-05T15:15:33.204246Z digest=sha256:8e87c6125c36554301186465beb79f234b1a30c93462f365152461db8bb647f2

Observation e6b5d999-8399-4126-979c-e4dd040d418c · inbound

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

Gradient Smoothing: Coupling Layer-wise Updates for Improved Optimization Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:25:41.201619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-07-01T06:36:48.524846Z digest=sha256:cbe2f538a14a577abfe309e52b9169367daa733b2441ea9e87a3605ceeec751c

Observation 07f14b3a-ccfe-4960-944e-2202ba08d69a · inbound

Prompt Compression via Activation Aggregation cites this paper.

Prompt Compression via Activation Aggregation Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-10T08:06:57.505320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-07-10T08:03:46.297577Z digest=sha256:71517cca3c4c6eed91c3c592f66950f000a949e8a6f6f4af281415c9212fc77d