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Paper Citation Record · LEDGER

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems

As of 22 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2603.01568.

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

pith.paper-citation-record.v1
2603.01568 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:40:47.412785Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T07:06:52.154090Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T07:09:49.349362Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved50
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f4bca00-e165-4123-8d65-d59b5b221afd · outbound

This paper cites write newline.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems write newline

Reference 1

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no resolver link, observed 2026-08-02T19:40:42.755905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:40:42.755905Z digest=sha256:b6ad42376cbca8413ccdd52566c3a1f1f2eb727fa12642b58335ffad7938aa13

Observation f9bd3c77-0680-40db-a0b8-b2b4e756c8de · outbound

This paper cites Deep Variational Information Bottleneck.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Deep Variational Information Bottleneck

Reference 2

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no resolver link, observed 2026-08-02T19:40:42.942240Z

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source=arxiv_source observed=2026-08-02T19:40:42.942240Z digest=sha256:36162462f3209aa88fd5b1c69439a0addfd0cac95f75ec1e12f6dd501c5e6f91

Observation 6efef508-f63b-46bf-be7a-6607a75fd502 · outbound

This paper cites An algorithm for computing the capacity of arbitrary discrete memoryless channels.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems An algorithm for computing the capacity of arbitrary discrete memoryless channels

Reference 3

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no resolver link, observed 2026-08-02T19:40:43.116538Z

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source=arxiv_source observed=2026-08-02T19:40:43.116538Z digest=sha256:4ed3e736091d47974d4bcb6f29ce1107a9bf2b87637b4884313128740d5e1e2c

Observation 20d67901-b11a-43aa-9813-61bd653ede88 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-02T19:40:43.362480Z digest=sha256:00167ca72d95d984f3ddcb90f1f99e7558b86ea53129fe89ea50834dc370038c

Observation 6ac667ed-8995-4a85-98f9-c5941792d3d8 · outbound

This paper cites Some informational aspects of visual perception.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Some informational aspects of visual perception

Reference 5

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source=arxiv_source observed=2026-08-02T19:40:43.530927Z digest=sha256:3a2e5971714ac5b0d7720082c0faaff3f781f183a83113e59cb46ba9d3a47ca4

Observation 23479f28-448f-48d0-bc6a-d24ea4927ed2 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 6

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no resolver link, observed 2026-08-02T19:40:43.732284Z

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source=arxiv_source observed=2026-08-02T19:40:43.732284Z digest=sha256:441671bcc137eca07d9c6a25164a4da1cd90666ceb889f5c14dabdd5d0a753a8

Observation c8051d7e-e172-419d-895c-8d3ad51424e9 · outbound

This paper cites Computation of channel capacity and rate-distortion functions.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Computation of channel capacity and rate-distortion functions

Reference 7

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source=arxiv_source observed=2026-08-02T19:40:43.921941Z digest=sha256:7e89042fc18cdf8bbde8617716802122865fd72d985ccf7b55825aef9030bae8

Observation ab20acf1-6461-4b4a-a8ea-afa6a8193418 · outbound

This paper cites Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet

Reference 8

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source=arxiv_source observed=2026-08-02T19:40:43.962803Z digest=sha256:9431d904d46fa343f05d8d8471deee26665a61a8bd75f8efd216930575ad2b30

Observation 9444c597-dadf-42bf-9f04-e0a8393f7fa4 · outbound

This paper cites and Geisler, W.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems and Geisler, W

Reference 9

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source=arxiv_source observed=2026-08-02T19:40:44.044215Z digest=sha256:38563ce4e076469a354ab9c23231124304796822423566c46b4c88ecd4c63839

Observation 4c5a4b85-7834-4898-bb19-d258fa597b20 · outbound

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

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems A simple framework for contrastive learning of visual representations

Reference 10

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source=arxiv_source observed=2026-08-02T19:40:44.102035Z digest=sha256:2992f8d021da4d4638b3ac12996b2619c81f19bc1cdfc83e1a88da723ead85b1

Observation ae9980b5-2afc-4811-86da-3565ca144311 · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Improved Baselines with Momentum Contrastive Learning

Reference 11

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Observation 5d17ac67-e617-412b-a7c8-1224d155746f · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-02T19:40:44.239903Z digest=sha256:9d2c719e0a0e1c4dc5bfafbaffdff74d81053a7a6796f6352e9d42f80f48466d

Observation 9e186499-1d89-4e31-bdb4-7ab49bf8be24 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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source=arxiv_source observed=2026-08-02T19:40:44.316708Z digest=sha256:1b8382e5f4f056353d0f15808e0c9b69cd34de13e8b87509127a65e48304937b

Observation 58327f5b-0eb2-447a-baf6-baad496eb1de · outbound

This paper cites A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?

Reference 14

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source=arxiv_source observed=2026-08-02T19:40:44.400400Z digest=sha256:5cce5f98d928f0da6cff4c7ac7fd855fd33a39e017a383682d5b52722df66876

Observation 2e552828-af9c-448e-a679-440ae5b6e158 · outbound

This paper cites A., and Brendel, W.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems A., and Brendel, W

Reference 15

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source=arxiv_source observed=2026-08-02T19:40:44.454656Z digest=sha256:5e89d62619b73f741d106caa6a97499853d68ca2f8d5d37bad7111ad918e0c88

Observation e3d44188-5bb7-410a-bc4d-a81b4a448b88 · outbound

This paper cites A., and Brendel, W.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems A., and Brendel, W

Reference 16

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no resolver link, observed 2026-08-02T19:40:44.534169Z

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source=arxiv_source observed=2026-08-02T19:40:44.534169Z digest=sha256:e66e848fc3acf4e4b7f1b34a17d789ff5d19977ba75118e4ea2fd8601e46c5df

Observation df821f61-8cef-4cbe-8747-208dbcbe46ff · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-02T19:40:44.589326Z

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source=arxiv_source observed=2026-08-02T19:40:44.589326Z digest=sha256:8754036ecf6f67a14fdeb9959ac0fc0e9ad4138e97b419b762a3840764a037f8

Observation 15097677-3bb0-47b0-adab-57c46bb4a89c · outbound

This paper cites Adversarial examples are a natural consequence of test error in noise.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Adversarial examples are a natural consequence of test error in noise

Reference 18

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source=arxiv_source observed=2026-08-02T19:40:44.642247Z digest=sha256:1d20049c90ff2bcdacf7e3973c480a5d163fe2cc6d5b6a310f136744cb214575

Observation 6946f7c3-ee79-4481-8993-96b44a28b399 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-02T19:40:44.695451Z digest=sha256:4df365c1fa86c66424c8d33df0bb35ad97cd9b7af3fe55e5656ef9ee2a94e0d6

Observation 5abd7c51-49ab-4b17-8bbc-fbcf26146a10 · outbound

This paper cites Deep residual learning for image recognition.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Deep residual learning for image recognition

Reference 20

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T19:40:44.734116Z digest=sha256:91371387d0184e93dd505dee15ac7d4b0d9462d3a48e3d5097a23acaa79f5a34

Observation 8ad29287-e94a-41c6-a963-52cc0853f5b4 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 21

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Observation a36ada1e-aaf1-4af4-948e-1edcbfbc8234 · outbound

This paper cites Using pre-training can improve model robustness and uncertainty.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Using pre-training can improve model robustness and uncertainty

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T19:40:44.916211Z digest=sha256:9195e1c02d84dd1c91889f8c1a5c42e1875fba90ad4849b16e55f2fc845eace4

Observation fb9b38e0-4aea-4c65-a4e8-de659a082882 · outbound

This paper cites Learning robust visual representations using data augmentation invariance.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Learning robust visual representations using data augmentation invariance

Reference 23

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source=arxiv_source observed=2026-08-02T19:40:45.062668Z digest=sha256:6a72861f776110879d75833bbac6d48021baf6e4f62e4085f2c5a7f376b0c7ce

Observation f814abcd-7c73-4b84-928b-7d6389590e8f · outbound

This paper cites Adversarial examples are not bugs, they are features.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Adversarial examples are not bugs, they are features

Reference 24

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Observation 87ec678e-bb8f-41fd-9d21-543dce9fe1f5 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-02T19:40:45.267824Z digest=sha256:e06c61860ce68f33a8d5fa70a42896db2e4ccf6512f34509453490c395fc4a2c

Observation 23176c7f-c0df-4494-8dfd-f2914f31adf0 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-02T19:40:45.350319Z digest=sha256:2d1f22cb0182ca2db9cd1c73946fec7a47acba6761e3edda05e3d9cf2923ec3b

Observation bc76779d-2626-4990-b326-05b95c178ce5 · outbound

This paper cites Big transfer (bit): General visual representation learning.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Big transfer (bit): General visual representation learning

Reference 27

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Observation 7e830a87-58c5-4c22-b024-6de98798f199 · outbound

This paper cites M., and Kietzmann, T.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems M., and Kietzmann, T

Reference 28

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Observation 6ab8f0ac-be46-404f-983c-5e163c139b74 · outbound

This paper cites Exploring the limits of weakly supervised pretraining.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Exploring the limits of weakly supervised pretraining

Reference 29

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Observation 7a94ab5c-b9c2-43db-b5a0-8eb9526f1802 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 30

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Observation c85a2895-3582-4cd7-95d8-1651cf7a0ca8 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 31

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Observation 4dc3772c-12e3-479a-9713-62e347e56b3b · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 32

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Observation 7cff3fcb-7b6f-479e-947b-4df7c676a7dc · outbound

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

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 33

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Observation 6b0c9538-674f-4437-9569-f4d411d73903 · outbound

This paper cites Modeling by shortest data description.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Modeling by shortest data description

Reference 34

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Observation 10870f8a-a392-4b62-bbde-9a9653a18c46 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 35

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Observation 6db4ecda-315e-42d4-bbb0-0f4eae1e7ad7 · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 36

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Observation 2da2ad9a-622b-4395-9daa-bfb3865f21ec · outbound

This paper cites E., Torr, P., and Sanyal, A.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems E., Torr, P., and Sanyal, A

Reference 37

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Observation 42357090-e48b-4f73-9252-2dbfaa17c72c · outbound

This paper cites an unresolved cited work.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 38

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This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 39

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Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 40

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This paper cites P., Mahajan, D., Girshick, R., Doll \'a r, P., and Van Der Maaten, L.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems P., Mahajan, D., Girshick, R., Doll \'a r, P., and Van Der Maaten, L

Reference 41

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Observation d98b838c-6b27-464d-838f-e1aaff155e08 · outbound

This paper cites Going deeper with convolutions.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Going deeper with convolutions

Reference 42

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This paper cites Measuring robustness to natural distribution shifts in image classification.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Measuring robustness to natural distribution shifts in image classification

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Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 44

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This paper cites What makes for good views for contrastive learning? Advances in neural information processing systems, 33: 0 6827--6839, 2020.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems What makes for good views for contrastive learning? Advances in neural information processing systems, 33: 0 6827--6839, 2020

Reference 45

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Observation dff4a3c1-8c18-471b-9c28-026582e1565e · outbound

This paper cites The information bottleneck method.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems The information bottleneck method

Reference 46

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This paper cites Optimality principles in sensorimotor control.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Optimality principles in sensorimotor control

Reference 47

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Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 48

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Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems Unresolved cited work

Reference 49

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Observation 417cb0a0-9d9f-479e-b9cf-ce9614bf19f5 · outbound

This paper cites and Raginsky, M.

Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems and Raginsky, M

Reference 50

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Pith citing papers

Observation d4be6623-2fcd-4b71-8d39-db7be3230527 · inbound

Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision cites this paper.

Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems

Reference 4

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verified exact
arxiv_id, observed 2026-07-15T01:20:56.573804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 3f00d8ba-4513-4383-ab47-e6f30a74d9ad · inbound

Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision cites this paper.

Directional Confusions Reveal Divergent Inductive Biases Through Rate-Distortion Geometry in Human and Machine Vision Same Compression Principle, Different Geometry: Rate-Distortion Signatures Dissociate Biological and Artificial Visual Systems

Reference 4

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verified exact
arxiv_id, observed 2026-07-15T01:20:56.573804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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