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Paper Citation Record · LEDGER

The information bottleneck method

As of 21 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 100 inbound Pith citation observations for arXiv:physics/0004057.

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

pith.paper-citation-record.v1
physics/0004057 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T11:19:05.057368Z

measured 106 of 106 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 100 of 312 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:52.130886Z

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

6 of 6 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1869
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3f60430f-dde8-4f4b-af44-12a77248174e · outbound

This paper cites Extracting relevant informati on.

The information bottleneck method Extracting relevant informati on

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-11T11:19:05.090704Z

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.

source=pdf_text observed=2026-05-11T11:19:05.057368Z digest=sha256:d8831995ee11a97df8d6f2fb40ee3bb5da954c45a378404abd24fc5a768cacfe

Observation 5157dd7c-e936-446a-97ca-bdfdd3e6d703 · outbound

This paper cites an unresolved cited work.

The information bottleneck method Unresolved cited work

Reference 2

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raw_fallback, observed 2026-05-11T11:19:05.102669Z

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.

source=pdf_text observed=2026-05-11T11:19:05.057368Z digest=sha256:f80f18e0151c4d94e93c214ec0f44b445823a5d78e66b7e8310de7a895d96dbf

Observation d927d2da-2ac9-4c84-8df0-5d6d646611c2 · outbound

This paper cites Information geometry and alternating mini- mization procedures.

The information bottleneck method Information geometry and alternating mini- mization procedures

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-11T11:19:05.115804Z

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.

source=pdf_text observed=2026-05-11T11:19:05.057368Z digest=sha256:15103d423f59ba269f9160180f0a80788239920253378e8a52c57e1db36ac634

Observation 5ee049ba-69d6-4fa1-ad1d-5a00e52387c2 · outbound

This paper cites Computation of channel capacity and rate d istortion func- tion.

The information bottleneck method Computation of channel capacity and rate d istortion func- tion

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-11T11:19:05.124463Z

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.

source=pdf_text observed=2026-05-11T11:19:05.057368Z digest=sha256:1bff206f5a77d3bd094bf276111e9ad17d6f5a03b08ede6c306d3239a2d1c116

Observation 62f2d1b1-3211-4db5-95c4-dbb540251d9c · outbound

This paper cites Agglomerative information bot tleneck.

The information bottleneck method Agglomerative information bot tleneck

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-11T11:19:05.131363Z

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.

source=pdf_text observed=2026-05-11T11:19:05.057368Z digest=sha256:ca9cdaa862b8e7b1b04538c5f9e0f4b3577a6f3adb8f6e6c4e6b7ade4ee2fdf6

Observation dc3207e4-b7d2-4bc8-9225-fda40c5ddb67 · outbound

This paper cites Distributional clu stering of En- glish words.

The information bottleneck method Distributional clu stering of En- glish words

Reference 6

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raw_fallback, observed 2026-05-11T11:19:05.137697Z

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.

source=pdf_text observed=2026-05-11T11:19:05.057368Z digest=sha256:f2fb367d33254dbd0aab13bb7996529f41f5d1c199a45ee073e297f92d61f491

Pith citing papers

Observation 363aeb24-36e9-4e58-9fbe-e2e825826105 · inbound

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives cites this paper.

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives The information bottleneck method

Reference 39

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verified exact
local_arxiv, observed 2026-05-25T16:26:01.493208Z

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.

source=pdf_text observed=2026-05-25T16:22:50.877642Z digest=sha256:a5bc658111368a1c175643c7e8c8cc3f17132623a756ec2c9ecd33c90411de46

Observation 9be19953-b87f-44fb-bebe-91a098095386 · inbound

Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks cites this paper.

Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks The information bottleneck method

Reference 12

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local_arxiv, observed 2026-05-25T13:15:51.980235Z

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.

source=pdf_text observed=2026-05-25T13:13:08.101191Z digest=sha256:4d207eb97d7b6302e50e88c71fe78f0b4628505e8b2534217865d75413157399

Observation 7fb306de-731d-4cab-be5b-523ad8e64853 · inbound

M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention cites this paper.

M3D-GAN: Multi-Modal Multi-Domain Translation with Universal Attention The information bottleneck method

Reference 25

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local_arxiv, observed 2026-05-25T00:15:06.772454Z

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.

source=pdf_text observed=2026-05-25T00:14:51.944874Z digest=sha256:37d8fbe0b95dabed6d38b108a3023b4600d0fdadb6b08ac5983437029210603a

Observation a91a832c-3823-49f6-8b3a-bfa48c1c1c5c · inbound

Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision cites this paper.

Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision The information bottleneck method

Reference 19

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local_arxiv, observed 2026-05-24T20:56:21.851093Z

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.

source=pdf_text observed=2026-05-24T20:55:43.600025Z digest=sha256:9ae6a858ef6c3a3c0258f4d347e4a1acd330a5257b06db884e196dbb759be3f2

Observation c35511d1-f433-4820-ace7-243e9285def5 · inbound

Classical Information Theory of Networks cites this paper.

Classical Information Theory of Networks The information bottleneck method

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:14:02.985595Z digest=sha256:a34bb07fccd558f3f2585e3af4bbc4e2fb9473f6b4c0678ad3120053ca7764a2

Observation e8c7aa04-d78b-4717-86b7-7e7fd4a99f5f · inbound

Adversarial Neural Pruning with Latent Vulnerability Suppression cites this paper.

Adversarial Neural Pruning with Latent Vulnerability Suppression The information bottleneck method

Reference 2013

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no resolver link, observed 2026-08-14T13:48:55.106547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:48:55.106547Z digest=sha256:779969ea620e82e5ffa8cabc8eeafea79673c4b8c7cd83efb0a58dfbfe2b4d6f

Observation d93227f6-df9e-425d-9ebb-4b18a94e4dbd · inbound

A survey on intrinsic motivation in reinforcement learning cites this paper.

A survey on intrinsic motivation in reinforcement learning The information bottleneck method

Reference 186

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no resolver link, observed 2026-08-14T12:33:26.421376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T12:33:26.421376Z digest=sha256:a932846218d6587ba74a9966430715de3a71a3e9e6d49398caf42c9c73cb0fa5

Observation 9e5d41f4-b55a-47c4-ab83-352060d59c19 · inbound

Salient Speech Representations Based on Cloned Networks cites this paper.

Salient Speech Representations Based on Cloned Networks The information bottleneck method

Reference 24

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no resolver link, observed 2026-08-14T12:31:50.485227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:31:50.485227Z digest=sha256:94805b44cb72c3b5f9b5ddc2400e57398edd6254440571e04f569a2caa9f70ab

Observation 59509662-99a3-490d-885c-4679d9670240 · inbound

Pareto-optimal data compression for binary classification tasks cites this paper.

Pareto-optimal data compression for binary classification tasks The information bottleneck method

Reference 19

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no resolver link, observed 2026-08-14T11:37:11.384611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:37:11.384611Z digest=sha256:f1167501368afbbcbbf6fb79a96abf0d7d64c232d3e7321f6470a724834dd149

Observation f08165c7-f646-40f8-a0f4-b57075e038a0 · inbound

Dynamics-aware Embeddings cites this paper.

Dynamics-aware Embeddings The information bottleneck method

Reference 2019

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no resolver link, observed 2026-08-14T11:20:28.288758Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:20:28.288758Z digest=sha256:26d8f2a312270a92a0e0f8dca2b81a3d9ede08b00a285aad929f48e4a7ac660d

Observation 6ae483d0-211a-4d41-a432-b7868c04e799 · inbound

What are Neural Networks made of? cites this paper.

What are Neural Networks made of? The information bottleneck method

Reference 16

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no resolver link, observed 2026-08-14T11:18:03.761031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:18:03.761031Z digest=sha256:38d392e25f0f26f9c4b1d0271c2e050a3b16bc737c6551ca49b90231ee06e74a

Observation fb8e7bf0-d7fc-4efe-a63c-8432ce04993f · inbound

Dream to Control: Learning Behaviors by Latent Imagination cites this paper.

Dream to Control: Learning Behaviors by Latent Imagination The information bottleneck method

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-12T01:16:36.540509Z

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.

source=pdf_text observed=2026-05-12T01:16:36.399272Z digest=sha256:37d5dd8dd67fbef5c5732101caaddc6986240277b5dba7f68e48aa929ee24ab3

Observation f5b52631-c8f1-41a7-a72e-3ab1316ae15e · inbound

Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional propagation of values and densities cites this paper.

Biology-inspired joint distribution neurons based on Hierarchical Correlation Reconstruction allowing for multidirectional propagation of values and densities The information bottleneck method

Reference 5

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verified exact
local_arxiv, observed 2026-05-24T00:58:40.495152Z

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.

source=pdf_text observed=2026-05-24T00:56:54.913435Z digest=sha256:c9e591056c39657f58519637ae28ca911fe9c6d9d820c9b5afda9f718cded1fc

Observation b860f80f-b748-4665-9925-1f9ed3787343 · inbound

Reassessing Layer Pruning in LLMs: New Insights and Methods cites this paper.

Reassessing Layer Pruning in LLMs: New Insights and Methods The information bottleneck method

Reference 34

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no resolver link, observed 2026-08-12T14:13:28.726615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:13:28.726615Z digest=sha256:8cda783d42a15f8f17189917afcfcd8cbd42ec6f271745b393d3ebb85dab64d9

Observation dd735bfc-7338-4b8a-abe9-9d898480c4e1 · inbound

Training Noise Token Pruning cites this paper.

Training Noise Token Pruning The information bottleneck method

Reference 17

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no resolver link, observed 2026-08-12T11:37:55.507118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:37:55.507118Z digest=sha256:29f43c22331fb7e20068a11c65a4a1fb86110101fc1f0dcc3846ddce1a26923c

Observation 1167c9fd-f65a-4f60-ac7b-f7459f21644d · inbound

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective cites this paper.

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective The information bottleneck method

Reference 74

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no resolver link, observed 2026-08-12T05:22:34.605952Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:22:34.605952Z digest=sha256:029e39397bd9e3f48d1a3101298415b80252bfdaaa6538864d0ec24c4e9d13ec

Observation d59d074e-211e-4b00-8e2b-e4457fca1801 · inbound

Direct Coloring for Self-Supervised Enhanced Feature Decoupling cites this paper.

Direct Coloring for Self-Supervised Enhanced Feature Decoupling The information bottleneck method

Reference 33

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no resolver link, observed 2026-08-11T23:54:06.681457Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:54:06.681457Z digest=sha256:96daad5c466173741c7fd76483c206677242ca89a83f3f0a2ddd6184f29db63b

Observation 0d904a08-3f5f-489c-9228-456e3b67c771 · inbound

GUESS: Generative Uncertainty Ensemble for Self Supervision cites this paper.

GUESS: Generative Uncertainty Ensemble for Self Supervision The information bottleneck method

Reference 49

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no resolver link, observed 2026-08-11T23:04:51.475199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:04:51.475199Z digest=sha256:9dd330f4c71825d9b30b5d9e5fbebb22a386d2a944eb9c80f0324a724f1e532a

Observation 44299887-66e1-4064-9b30-a94d1897ee86 · inbound

INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations cites this paper.

INFP: Audio-Driven Interactive Head Generation in Dyadic Conversations The information bottleneck method

Reference 38

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source=pdf_text observed=2026-08-11T21:53:11.879569Z digest=sha256:74ab4691e13738ca5c5f9511caa5be94cd10ba3f87734444d21164dcfaae3d13

Observation 1f495666-e37c-4ad1-b578-1b7b201e56a3 · inbound

Protein Evolution as a Complex System cites this paper.

Protein Evolution as a Complex System The information bottleneck method

Reference 120

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source=pdf_text observed=2026-08-11T20:03:04.812459Z digest=sha256:3dd049aec5efb963ccd28496c70c144edbcf42d6f3df998d3e98f8bf9090e0e9

Observation c8b41653-bbe5-4882-9639-7a54ced765bc · inbound

Structured IB: Improving Information Bottleneck with Structured Feature Learning cites this paper.

Structured IB: Improving Information Bottleneck with Structured Feature Learning The information bottleneck method

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:13:11.371782Z digest=sha256:fe3b02f1adcf7a7a4dfa183f43f90215f14f4f35e1304a7580a8c58be5fcf3c3

Observation e07c9ce2-7824-4b04-860a-f1668c124eb3 · inbound

Structural Entropy Guided Probabilistic Coding cites this paper.

Structural Entropy Guided Probabilistic Coding The information bottleneck method

Reference 41

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source=arxiv_source observed=2026-08-11T17:37:05.381059Z digest=sha256:0b497e46c0483d40028b66b0b82f8afa0dd8fb48bafaf07c0c1890965b5ad980

Observation 6788e5ae-98b4-4335-9312-273da68ffec3 · inbound

An Informational Parsimony Perspective on Probabilistic Symmetries cites this paper.

An Informational Parsimony Perspective on Probabilistic Symmetries The information bottleneck method

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:29:51.668469Z digest=sha256:fa44179f97d8cfd2ab1016b30c18bf9dabe50a9b09c4b07717202e65c24b750f

Observation 9091ec4a-0c3c-4165-99ab-0e3d4c6c1706 · inbound

SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints cites this paper.

SUMI-IFL: An Information-Theoretic Framework for Image Forgery Localization with Sufficiency and Minimality Constraints The information bottleneck method

Reference 27

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source=arxiv_source observed=2026-08-11T16:36:48.649108Z digest=sha256:60a0ccc131c0027eb3eaac779d5af58de164cac1bc97d6fb30827f41cb375c2a

Observation de0fcd9a-b9ae-4aa5-be9d-689f17b69d9c · inbound

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication cites this paper.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication The information bottleneck method

Reference 3

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source=pdf_text observed=2026-08-11T16:13:29.339650Z digest=sha256:009d97aad78ffba509165b613641f9409a630964658d2d5222374a69063ac7d2

Observation 32f1c699-553e-4b57-9f0e-c6b10168c643 · inbound

Shannon information and integrated information: message and meaning cites this paper.

Shannon information and integrated information: message and meaning The information bottleneck method

Reference 51

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:49:02.606303Z digest=sha256:eb71c947a36d458c4b148800805ecd4436117e6f4eeed74584f78b4ca1040a16

Observation 938f454f-8235-4061-b60f-54810f113b56 · inbound

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics cites this paper.

MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics The information bottleneck method

Reference 44

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source=arxiv_source observed=2026-08-11T15:50:14.861571Z digest=sha256:7133406d9853f1aabbf227f616c4674d38af2a0b5adc340a528bd24bc4e6aa83

Observation 834bd0bd-d34c-48ee-ae3c-41436ab54432 · inbound

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training cites this paper.

Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training The information bottleneck method

Reference 44

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source=pdf_text observed=2026-08-11T14:07:16.242892Z digest=sha256:36ec3e24a12c44079181f07ba32cf0e72f193219d7c20dda3d673eacfe186114

Observation 16e86622-d33a-4df7-ad61-44d662e73716 · inbound

S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion cites this paper.

S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion The information bottleneck method

Reference 42

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source=arxiv_source observed=2026-08-11T11:07:30.403493Z digest=sha256:356f5a137b7598324ed1f49c36a4a47358a483af24afbeac319cfb397f416e3f

Observation 5daa5ff3-81f9-4939-af3e-14d8dafd98d5 · inbound

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics cites this paper.

KKANs: Kurkova-Kolmogorov-Arnold Networks and Their Learning Dynamics The information bottleneck method

Reference 60

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source=pdf_text observed=2026-08-11T10:23:14.199711Z digest=sha256:6cae943cc067f426d6c62a3f9d2a79dbadb2f4763497796f078834858e7ee2c4

Observation 82fac2be-68e1-4218-804f-107f78c8806e · inbound

From Raw Data to Structural Semantics: Trade-offs among Distortion, Rate, and Inference Accuracy cites this paper.

From Raw Data to Structural Semantics: Trade-offs among Distortion, Rate, and Inference Accuracy The information bottleneck method

Reference 17

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no resolver link, observed 2026-08-11T13:01:42.836596Z

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source=pdf_text observed=2026-08-11T13:01:42.836596Z digest=sha256:71f7cf4e0a6bc2d4f56eb876a73c3f124752ea157ddf79638778bd697e309064

Observation 1b8ebb30-3f48-4047-9c18-69972f42d031 · inbound

Discrete Curvature Graph Information Bottleneck cites this paper.

Discrete Curvature Graph Information Bottleneck The information bottleneck method

Reference 18

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source=arxiv_source observed=2026-08-10T23:47:28.897939Z digest=sha256:4187a5711ea81aef2859b3f91ba64784b470746e50e1da77c1d67ea01dc0ac22

Observation 2799b7c8-4a63-4aaf-9940-909f7417ba4c · inbound

Proactive Conversational Agents with Inner Thoughts cites this paper.

Proactive Conversational Agents with Inner Thoughts The information bottleneck method

Reference 62

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source=pdf_text observed=2026-08-10T22:55:29.712278Z digest=sha256:fd836c5a8ac86fecc88976ae903cdae9a1109208bd2b061ae835fbc031ddb718

Observation d752eb52-0fc9-4c15-9f51-90a08b121b45 · inbound

Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers cites this paper.

Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers The information bottleneck method

Reference 48

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source=pdf_text observed=2026-08-10T22:17:22.449285Z digest=sha256:d39227147bf51490621e1ca728d13b725aa28b2555333a8a39409eae4e20615b

Observation 8aa26625-9a77-40ad-843a-a3592b28a9f5 · inbound

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints cites this paper.

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints The information bottleneck method

Reference 31

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source=arxiv_source observed=2026-08-10T21:39:46.427953Z digest=sha256:384d8b4c2e7b0ed48ca18c75c2683c20960262ce04b84f84baa787d4f4cd88a9

Observation 34eb2ff6-9eb1-4d7b-a1d8-df3cd7087bfa · inbound

Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification cites this paper.

Multi-View Factorizing and Disentangling: A Novel Framework for Incomplete Multi-View Multi-Label Classification The information bottleneck method

Reference 33

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source=pdf_text observed=2026-08-10T21:05:03.356267Z digest=sha256:4dcbc420daea2f467b4181b7741336cc30ccfdc9dfe333c7ac7187d1673d8c2c

Observation d0f45bd8-bffb-4ab8-97b2-f7f0d736b85f · inbound

Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values cites this paper.

Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values The information bottleneck method

Reference 66

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source=arxiv_source observed=2026-08-10T20:53:59.847196Z digest=sha256:ae19af8ece314aeb09f6f525b2ffd908ebe11bce1792959e75b34cb08859a6bc

Observation a3939a34-5714-4405-9971-586fd733beed · inbound

The geometry of moral decision making cites this paper.

The geometry of moral decision making The information bottleneck method

Reference 37

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source=pdf_text observed=2026-08-10T20:23:45.816437Z digest=sha256:fe5b0d247a34efa4ea9432c4dc766a79fbf407eb632634de86253e291374529a

Observation 7a96ca93-f7bd-44b0-a420-ba6d1eeb0e07 · inbound

Less is More: Information Bottleneck Denoised Multimedia Recommendation cites this paper.

Less is More: Information Bottleneck Denoised Multimedia Recommendation The information bottleneck method

Reference 35

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source=pdf_text observed=2026-08-10T17:32:22.631731Z digest=sha256:e2c133a78aeb8f0236e55a9fa20f4b2966c4b7fc7e9997b6ae9de4eda5dfcb8c

Observation d525eef6-a5e6-4d9d-a350-05d94379ef6d · inbound

Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding cites this paper.

Nonasymptotic Oblivious Relaying and Variable-Length Noisy Lossy Source Coding The information bottleneck method

Reference 14

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local_arxiv, observed 2026-05-23T05:42:36.408873Z

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source=pdf_text observed=2026-05-23T05:37:37.757947Z digest=sha256:647c3f3bd800ec5515129d65f500b95bdf1bc61ed01d1aa0fe49089b1a8add32

Observation 176c5971-7a3e-498b-803c-c2e0c73b8622 · inbound

Pre-train and Fine-tune: Recommenders as Large Models cites this paper.

Pre-train and Fine-tune: Recommenders as Large Models The information bottleneck method

Reference 47

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source=pdf_text observed=2026-08-10T15:20:10.125763Z digest=sha256:941d052362133c3357461c34903b23b21707e9c28d1c4ed50a9a5d6b0e2afd35

Observation 38adb9d4-de62-4373-9234-0217c9b2c96f · inbound

Separable Computation of Information Measures cites this paper.

Separable Computation of Information Measures The information bottleneck method

Reference 7

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source=pdf_text observed=2026-08-10T14:34:59.766736Z digest=sha256:ac82e028dc0da3a480635a528db1e9d5206951a1598c4d28016b9c19875915fc

Observation b9ada8b0-9737-4ffb-8143-be48babf940d · inbound

InfoBFR: Real-World Blind Face Restoration via Information Bottleneck cites this paper.

InfoBFR: Real-World Blind Face Restoration via Information Bottleneck The information bottleneck method

Reference 44

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source=pdf_text observed=2026-08-10T14:23:31.328466Z digest=sha256:f557e858ee7feb7a6d64459852d150d1251c9a14fa56dee5624e128c4b4d892c

Observation 7cf85d92-03d4-4fe0-b7d7-3f8b07a2d8a3 · inbound

Bridging statistical mechanics and thermodynamics away from equilibrium: a data-driven approach for learning internal variables and their dynamics cites this paper.

Bridging statistical mechanics and thermodynamics away from equilibrium: a data-driven approach for learning internal variables and their dynamics The information bottleneck method

Reference 66

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source=pdf_text observed=2026-08-10T04:32:05.201853Z digest=sha256:f3905f2511eb672bba60fe05e016287df0e10b504435e1f32d6a9dc6ce1d4350

Observation 6893d6b9-b50b-42ad-b7a5-3198e2fd45ea · inbound

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective cites this paper.

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective The information bottleneck method

Reference 69

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source=arxiv_source observed=2026-08-09T11:32:26.871309Z digest=sha256:1a3cf1180c84a562e00e68db4a50a538ac169fbd4c21b1fe64a2f6ff08033e69

Observation fbecfd16-ee75-4fd9-ac47-10756eb49a3b · inbound

Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation cites this paper.

Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation The information bottleneck method

Reference 53

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source=arxiv_source observed=2026-08-09T10:56:57.825179Z digest=sha256:2f9494e9f1e2aa0def16cd549233bd6498ccc7ef447398804d9d3ca50e9f0131

Observation d514f935-1d64-400e-9fbb-14c1375cb4af · inbound

Parameter Symmetry Potentially Unifies Deep Learning Theory cites this paper.

Parameter Symmetry Potentially Unifies Deep Learning Theory The information bottleneck method

Reference 67

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source=pdf_text observed=2026-08-08T19:58:27.030727Z digest=sha256:402f4c04130a144e9f89a7f8eac2519891866a2f8cea582413400c83f7a8cdf1

Observation 986be77d-d0e8-4e54-a859-23390249417e · inbound

Robust Event-Triggered Integrated Communication and Control with Graph Information Bottleneck Optimization cites this paper.

Robust Event-Triggered Integrated Communication and Control with Graph Information Bottleneck Optimization The information bottleneck method

Reference 7

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source=pdf_text observed=2026-08-07T20:21:43.168728Z digest=sha256:37b06c82958edf725b2267a8c987011a78c09e1625d49f064a23ed7b57d13436

Observation 8088fbe0-a5da-4c22-8912-b274b13523fa · inbound

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis cites this paper.

Information Bottleneck-Guided Heterogeneous Graph Learning for Interpretable Neurodevelopmental Disorder Diagnosis The information bottleneck method

Reference 19

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local_arxiv, observed 2026-05-23T02:25:19.281007Z

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source=pdf_text observed=2026-05-23T02:23:43.872133Z digest=sha256:bb7442ae3b9560c87c9a14e0836ced82fd221db2228d8626d12e0608c23e5b37

Observation 5f2b93ca-26c1-4e62-9886-f4be98db8223 · inbound

Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition cites this paper.

Balancing Graph Embedding Smoothness in Self-Supervised Learning via Information-Theoretic Decomposition The information bottleneck method

Reference 32

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source=pdf_text observed=2026-08-16T12:40:52.130886Z digest=sha256:b6c835fb87be4945bddaee454a802cc224f6d40033a80acceea8aebc8f9896d6

Observation 7e4c53cf-8dd4-482a-a53a-91dd29b0a18c · inbound

Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis cites this paper.

Towards Explainable Fusion and Balanced Learning in Multimodal Sentiment Analysis The information bottleneck method

Reference 48

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source=pdf_text observed=2026-08-16T12:40:43.435544Z digest=sha256:0ae46c9bc380306914b5027a6f0c91f950a1c52ff09a9965b933f742928313ac

Observation cd50dd40-e71e-40bd-bfac-f60eaa7b190d · inbound

A Two-Phase Perspective on Deep Learning Dynamics cites this paper.

A Two-Phase Perspective on Deep Learning Dynamics The information bottleneck method

Reference 15

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source=pdf_text observed=2026-08-16T12:27:49.460886Z digest=sha256:a651e2ce52624fa01a2e1ec08392e15bc6428a9ded5f1a23dd2b437bb8b2eb41

Observation 315c63a2-772c-4813-be46-3b6fbbaf2504 · inbound

ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision cites this paper.

ROI-Guided Point Cloud Geometry Compression Towards Human and Machine Vision The information bottleneck method

Reference 38

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source=pdf_text observed=2026-08-16T11:58:09.029941Z digest=sha256:03d666649b47dc336b61abf257ea5fadee93ea5c973fdef3fa5446378f008abf

Observation 5a21e724-23ba-4b53-bd57-bb19fb5b4615 · inbound

FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing cites this paper.

FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing The information bottleneck method

Reference 99

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source=pdf_text observed=2026-08-16T11:09:08.904971Z digest=sha256:760332e78cec82e72889410f3afa108225488c6dbd7199a766e21e990a73d64d

Observation 927616cc-50e1-4401-83eb-41192c2614c5 · inbound

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior cites this paper.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior The information bottleneck method

Reference 87

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source=arxiv_source observed=2026-08-16T10:33:42.324089Z digest=sha256:0edefa666b0643235fde0af115a911958669e4f2f2dac31d90fd8f1c1185a80e

Observation a783b116-a774-4f9a-a160-68ebef771d29 · inbound

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction cites this paper.

DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction The information bottleneck method

Reference 55

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source=arxiv_source observed=2026-08-16T05:57:49.501904Z digest=sha256:893fac375aca45f68956a33d88f67d70f60652947f62e1fac19f20feabe17a8e

Observation 11bbca16-5944-4a91-9576-ba8a172e9ea7 · inbound

Modeling and Performance Analysis for Semantic Communications Based on Empirical Results cites this paper.

Modeling and Performance Analysis for Semantic Communications Based on Empirical Results The information bottleneck method

Reference 33

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source=pdf_text observed=2026-08-16T05:36:37.777627Z digest=sha256:b55577aa6e5571396443ca4b89791b3681ec10d3455cf6587fedd7735ab489ed

Observation fd2b691d-c84e-4e6f-a8a1-310280c8fef5 · inbound

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework cites this paper.

MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework The information bottleneck method

Reference 37

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source=pdf_text observed=2026-08-16T05:06:28.878881Z digest=sha256:459bbe1f0d699276738797cba2dda837f2d4fcfaeda14a988cb519b1a1f1e3df

Observation 8bac0f42-5214-44df-827b-ae7d118cb535 · inbound

Neuroevolution of Self-Attention Over Proto-Objects cites this paper.

Neuroevolution of Self-Attention Over Proto-Objects The information bottleneck method

Reference 23

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source=pdf_text observed=2026-08-16T04:54:32.790194Z digest=sha256:9f6b7c4929d6dc5d42a1034f10ee419305d744dc2bd4ccacd0595ac1bad9de2f

Observation e2adcde6-3704-45e7-97c9-6417e6844879 · inbound

A Tutorial on Discriminative Clustering and Mutual Information cites this paper.

A Tutorial on Discriminative Clustering and Mutual Information The information bottleneck method

Reference 98

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source=arxiv_source observed=2026-08-15T23:35:09.571681Z digest=sha256:5d87d17ce1c79cb74af4aa8d49a1eb2eb1b179e0065acaaf4dd32e725e174691

Observation 596b5dc7-688f-40c8-afb4-4038f38db018 · inbound

CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection cites this paper.

CSPENet: Contour-Aware and Saliency Priors Embedding Network for Infrared Small Target Detection The information bottleneck method

Reference 41

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source=pdf_text observed=2026-08-15T21:26:54.355805Z digest=sha256:3150a7f7d68f17f9e326118a33d6a0ed41438252a8bf17cd7f281e43a90da1b7

Observation 389cbea2-8c0b-46ca-a545-57a66aebce39 · inbound

Neural Thermodynamic Laws for Large Language Model Training cites this paper.

Neural Thermodynamic Laws for Large Language Model Training The information bottleneck method

Reference 28

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source=pdf_text observed=2026-08-15T21:16:10.395835Z digest=sha256:0877d441689838a313b8a0d5bc9c3c178718ee810f195554d1450d39ebabce4e

Observation e15c9a49-3d6a-40a5-a43e-7fe21b7f7782 · inbound

NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation cites this paper.

NOFT: Test-Time Noise Finetune via Information Bottleneck for Highly Correlated Asset Creation The information bottleneck method

Reference 33

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source=pdf_text observed=2026-08-15T20:43:39.143013Z digest=sha256:6508079294b0ee0c97db9298949afb2c887409220324c3f42ed9d7da07e29d6d

Observation a886447b-b77a-4a11-ad45-50509252e5ee · inbound

Emergent Specialization: Rare Token Neurons in Language Models cites this paper.

Emergent Specialization: Rare Token Neurons in Language Models The information bottleneck method

Reference 34

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source=pdf_text observed=2026-08-15T20:30:15.372862Z digest=sha256:300ecc9d645e61a12ed5c3cb6f073b3a69d332bb38891a44e5b2351a8be168d3

Observation 2aad8805-d234-4982-bb16-2249f5394c9b · inbound

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation cites this paper.

SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation The information bottleneck method

Reference 2000

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source=pdf_text observed=2026-08-07T15:11:22.061641Z digest=sha256:7ad25d76d09dd1bffab89bdcd038cca163585131cafef4f5a64531076f0b1b09

Observation 6baf8498-6d59-43fd-b1b1-11857cdfc09e · inbound

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation cites this paper.

HASH-RAG: Bridging Deep Hashing with Retriever for Efficient, Fine Retrieval and Augmented Generation The information bottleneck method

Reference 39

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source=arxiv_source observed=2026-08-07T15:09:59.038569Z digest=sha256:bdee4bbf4697ca23eb7d47774d57bb42158cb141f4cafc4a27605a04483cc0c1

Observation 8d251635-e99c-4bc4-a15e-e31ffdcd0149 · inbound

VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR cites this paper.

VIBE: Annotation-Free Video-to-Text Information Bottleneck Evaluation for TL;DR The information bottleneck method

Reference 9

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source=pdf_text observed=2026-08-07T14:51:40.343560Z digest=sha256:9937e3ac29e8703685419b80a3a809f173f6d8ebfeffaf9553ce75276e288789

Observation fbf88c2d-4e15-443a-98cd-b1c998ab2744 · inbound

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory cites this paper.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory The information bottleneck method

Reference 35

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source=arxiv_source observed=2026-08-07T14:13:18.893237Z digest=sha256:03a9dbca640e4a0434a40664ce8ed2544c2a4615afa90c9e0dd97335de392b6b

Observation e6c80628-ec18-41f9-86b9-4a664a8adfaa · inbound

Learning Optimal Multimodal Information Bottleneck Representations cites this paper.

Learning Optimal Multimodal Information Bottleneck Representations The information bottleneck method

Reference 8

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source=pdf_text observed=2026-08-07T14:11:00.686801Z digest=sha256:85e0a670d01b9022a36b3e2fd2d40741cc53edf2529a1d46e43e83294b36952b

Observation 9e1b46c7-bcf9-4765-a0f0-817507aaf57d · inbound

Information-Theoretic Complementary Prompts for Improved Continual Text Classification cites this paper.

Information-Theoretic Complementary Prompts for Improved Continual Text Classification The information bottleneck method

Reference 57

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source=pdf_text observed=2026-08-07T13:49:56.027847Z digest=sha256:1578f6b43aadae864203fe1c5ed51255f44bf986fb0de5223bc0a73498fe320e

Observation 2d6d6670-7618-4b2a-bd6e-751aab067669 · inbound

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation cites this paper.

On the Transferability and Discriminability of Repersentation Learning in Unsupervised Domain Adaptation The information bottleneck method

Reference 49

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source=pdf_text observed=2026-08-07T13:23:18.823031Z digest=sha256:04ec8fa2d342cf98e7246422601be5d5f83f6cfa1b83ae4e1ff1769d56795f54

Observation 9b8163eb-18a1-4a97-a455-5751619f8cf5 · inbound

Optimization and variability can coexist cites this paper.

Optimization and variability can coexist The information bottleneck method

Reference 42

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source=pdf_text observed=2026-08-07T12:53:12.157493Z digest=sha256:777adf9e180a0c188bdadee088d392cca2fe52c50a08be76c2aa95f82b23f635

Observation 66bde114-993c-4a8f-ad06-b31b0ea6fc5f · inbound

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem cites this paper.

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem The information bottleneck method

Reference 47

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source=pdf_text observed=2026-08-07T12:39:32.026957Z digest=sha256:8e8cdc5bbae84fa2168622b0677b24742326f7d0aa6d3f2bc6568f81f0bc8007

Observation 6b674847-d15e-46ce-85bc-cf498068eaf0 · inbound

Cross-Lingual Generalization and Compression: From Language-Specific to Shared Neurons cites this paper.

Cross-Lingual Generalization and Compression: From Language-Specific to Shared Neurons The information bottleneck method

Reference 33

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source=arxiv_source observed=2026-08-07T11:42:35.207468Z digest=sha256:f6b6cc8d8581951aee6166b40f48a7aca4f974237b49e0cf0a2173526d4722ec

Observation c978df9a-bda8-4846-9bac-72ba15533d6f · inbound

Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models cites this paper.

Towards Better Generalization and Interpretability in Unsupervised Concept-Based Models The information bottleneck method

Reference 36

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source=pdf_text observed=2026-08-07T11:36:51.287539Z digest=sha256:d2d89ed96c4e411fcb51925120aeb9e23f0bf412f39de4ad8f64fee1ed82076f

Observation ae5d9413-d508-4eb9-b504-1bf9d320994a · inbound

Aligning Multimodal Representations through an Information Bottleneck cites this paper.

Aligning Multimodal Representations through an Information Bottleneck The information bottleneck method

Reference 60

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source=arxiv_source observed=2026-08-07T10:43:52.766923Z digest=sha256:f71eeb2034db8d5f2346c0a0dd4ba82b2dcb4e4fec413a996518a69a9b769e34

Observation 3ca6334b-e298-4d46-946e-b698bf4ffbdd · inbound

PASS: Private Attributes Protection with Stochastic Data Substitution cites this paper.

PASS: Private Attributes Protection with Stochastic Data Substitution The information bottleneck method

Reference 56

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source=arxiv_source observed=2026-08-07T05:48:50.689679Z digest=sha256:ddd2761fdd02975c3ef0a48f6f6e8a25456193afdeba647c2f530f640f6e2c25

Observation 24e8351b-1430-4300-a1c4-d583bc4868c3 · inbound

Intention-Conditioned Flow Occupancy Models cites this paper.

Intention-Conditioned Flow Occupancy Models The information bottleneck method

Reference 111

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source=pdf_text observed=2026-05-19T10:24:52.160209Z digest=sha256:841f9b8585b9bcde3cb7c3974033e880cd7f10a269617e85be0059de3c057cb7

Observation 2cbc29b5-3afe-4569-b04e-9e79a98edcdd · inbound

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection cites this paper.

Optimizing Latent Dimension Allocation in Hierarchical VAEs: Balancing Attenuation and Information Retention for OOD Detection The information bottleneck method

Reference 34

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source=pdf_text observed=2026-08-07T04:42:37.775667Z digest=sha256:f1820bfd6e6ed6bfd57aec9f7e1dd875f817fcc1ef49d120b9b9a9685366b646

Observation ab3d8101-b0bb-43e5-bfdf-63e2d927e467 · inbound

An Information-Theoretic Framework for Feature Construction in Out-of-Distribution Detection cites this paper.

An Information-Theoretic Framework for Feature Construction in Out-of-Distribution Detection The information bottleneck method

Reference 31

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source=arxiv_source observed=2026-08-07T00:25:59.700754Z digest=sha256:5eb605d2ebbd616a85c1f9e7fefe259a8dda4820ba3886f97465b52848735310

Observation 9a93d462-0d83-42bf-a52f-08a965f65a5a · inbound

Bound by semanticity: universal laws governing the generalization-identification tradeoff cites this paper.

Bound by semanticity: universal laws governing the generalization-identification tradeoff The information bottleneck method

Reference 20

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source=arxiv_source observed=2026-08-07T11:57:36.588789Z digest=sha256:75c17f414bb3270d553d143daa2392e5ae2e4d27be481c8a173330288ce7253e

Observation 527190c2-afcd-4a57-9c17-cee0e8c6f898 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning The information bottleneck method

Reference 123

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source=arxiv_source observed=2026-08-06T23:34:42.855480Z digest=sha256:b9bcf686c570a07ea90293d56c7786036c1c5f88647c35b39b5cec7f4631d1b3

Observation 431eda90-0064-4b1e-84d9-4db53301e06b · inbound

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models cites this paper.

Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models The information bottleneck method

Reference 27

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source=arxiv_source observed=2026-08-15T19:04:16.625478Z digest=sha256:7ab61bb300dc505e2ddfe6d690ee876dc2122f708b7d4c0ae602ea62863282fb

Observation cabf4e3a-2986-4189-bf57-85ad313c4abd · inbound

Structural Decoupling: A Scaffold-Flow Theory of Generalization and Alignment cites this paper.

Structural Decoupling: A Scaffold-Flow Theory of Generalization and Alignment The information bottleneck method

Reference 54

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source=pdf_text observed=2026-08-06T22:53:00.472180Z digest=sha256:b000c021ec51eb319a9b40658b41be4a1d5df2ae059c8390f9466bebedbdbc9c

Observation 26fa57dc-10f1-4d3f-8d0b-1fb65d325fa3 · inbound

ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation cites this paper.

ReMem: Mutual Information-Aware Fine-tuning of Pretrained Vision Transformers for Effective Knowledge Distillation The information bottleneck method

Reference 17

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source=pdf_text observed=2026-08-06T21:59:03.717723Z digest=sha256:fc01af97940bac4c0c84121a6c61abf35e27487334913f86e04cf886d2362468

Observation 9bbcfd7a-2ceb-4426-90df-79a22ca0969b · inbound

Emerging AI Approaches for Cancer Spatial Omics cites this paper.

Emerging AI Approaches for Cancer Spatial Omics The information bottleneck method

Reference 63

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source=pdf_text observed=2026-08-06T21:32:58.603090Z digest=sha256:debc485daaf303c846a96088f9e5df8a5ddc01dd218863f4007bef6a0d55110c

Observation 2906302c-00b0-4ffc-a053-9c7c082fc0f5 · inbound

A Recipe for Causal Graph Regression: Confounding Effects Revisited cites this paper.

A Recipe for Causal Graph Regression: Confounding Effects Revisited The information bottleneck method

Reference 41

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source=arxiv_source observed=2026-08-06T21:22:24.743390Z digest=sha256:cd78ebaf05bd0e2a5dfc4cda277216e8da1e3a4d7f3dfc9c5b8cd682444cfbd5

Observation 521faeff-ac77-4655-8161-82dd8fc9fb51 · inbound

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact cites this paper.

Thinking Beyond Tokens: From Brain-Inspired Intelligence to Cognitive Foundations for Artificial General Intelligence and its Societal Impact The information bottleneck method

Reference 187

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source=pdf_text observed=2026-08-06T21:07:11.357748Z digest=sha256:95a02a5798f2ba7b6f9f755b43849a653c4fa7fdfdf62dacdb1eec7113fa7d26

Observation b44f6487-51c4-437b-b1b4-00daeb824298 · inbound

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data cites this paper.

Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data The information bottleneck method

Reference 5

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source=pdf_text observed=2026-08-06T20:23:21.200944Z digest=sha256:eb1f7e25d2aace96309465b39f9bb3d373fa949bcbb22b1213db0293cd19c17f

Observation 9d0760fd-8450-4d90-ad60-47401baece1d · inbound

Information-Bottleneck Driven Binary Neural Network for Change Detection cites this paper.

Information-Bottleneck Driven Binary Neural Network for Change Detection The information bottleneck method

Reference 57

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source=pdf_text observed=2026-08-06T20:15:26.079276Z digest=sha256:bde795119b52794ce82b738b36defe83d1fd8448ff926c082169c170d532ad84

Observation 9095b91c-04b9-400a-b132-f2602268bb6a · inbound

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers cites this paper.

Comprehensive Information Bottleneck for Unveiling Universal Attribution to Interpret Vision Transformers The information bottleneck method

Reference 36

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source=pdf_text observed=2026-08-06T19:53:37.971815Z digest=sha256:f221dde4019c0fd9369552daa7fe00453e326faafc00569ec4cf552126d3b20e

Observation 7ae5ca74-9d58-40e6-afb3-bbd3c976983f · inbound

Information-Guided Diffusion Sampling for Dataset Distillation cites this paper.

Information-Guided Diffusion Sampling for Dataset Distillation The information bottleneck method

Reference 54

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source=arxiv_source observed=2026-08-06T19:53:18.738464Z digest=sha256:56c9e5aefa7a661dcd69b222e1cf1dd11c9d92aad5764196eb997f2234d8a637

Observation e6084a48-a1df-4db4-ba41-a310b07adec5 · inbound

RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion cites this paper.

RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion The information bottleneck method

Reference 8

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source=pdf_text observed=2026-08-06T17:59:57.044648Z digest=sha256:d0d33e1880f2c6dce02657320907f21112f249c01506faa62ba1baef36e865bc

Observation 2f27ddd4-455b-4b6d-aab4-3814d9a020e8 · inbound

Improving KAN with CDF normalization to quantiles cites this paper.

Improving KAN with CDF normalization to quantiles The information bottleneck method

Reference 12

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source=pdf_text observed=2026-08-06T16:57:45.110988Z digest=sha256:94c0135dd8671e16c86324f725e0d28bb1cd6b8c511d5a348bed6e24587a42e6

Observation 2f8b4646-4474-4279-8f55-9ed25583b46c · inbound

One Last Attention for Your Vision-Language Model cites this paper.

One Last Attention for Your Vision-Language Model The information bottleneck method

Reference 41

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source=pdf_text observed=2026-08-06T15:42:16.441899Z digest=sha256:fa2606c62e35da54b2cc2c6747daa4fd4031cf279b19665c69963cec0f8f840b

Observation 5b62b57b-92db-4ec9-8349-c4fa937f6b7d · inbound

VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL cites this paper.

VeriMinder: Mitigating Analytical Vulnerabilities in NL2SQL The information bottleneck method

Reference 2000

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source=pdf_text observed=2026-08-06T14:44:01.738253Z digest=sha256:f8345329cbd66a232e95493e426de802832ae7d946e5d0b7c757ced8003ce0d6

Observation ef29466a-18b2-4ffd-8c6b-54af4b9f63a0 · inbound

Revisiting LLM Reasoning via Information Bottleneck cites this paper.

Revisiting LLM Reasoning via Information Bottleneck The information bottleneck method

Reference 10

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source=pdf_text observed=2026-08-15T18:21:08.394685Z digest=sha256:c55fcbaae4a93d8dfae3bb5e4c1a19bcdc0791c460cebd05bfef33b2d65abad9

Observation 0f6f869b-505d-4e29-bfa7-81874b7aaebf · inbound

Achievable Rates for a Distributed Antenna System with No Channel State Information at the Central Processor cites this paper.

Achievable Rates for a Distributed Antenna System with No Channel State Information at the Central Processor The information bottleneck method

Reference 15

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source=pdf_text observed=2026-08-15T18:17:53.592409Z digest=sha256:b261a80026efce44ea735e9b799103a72dda581c64da8c490c9e3584c312776a

Observation 5e995ea0-3474-4d1b-b332-d2c24db94841 · inbound

A Markov Categorical Framework for Language Modeling cites this paper.

A Markov Categorical Framework for Language Modeling The information bottleneck method

Reference 33

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local_arxiv, observed 2026-05-19T02:36:59.936568Z

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source=arxiv_source observed=2026-05-19T02:34:24.622622Z digest=sha256:cae9fc0ff5c67308d45b2fe01166fbf86626518074a892c92bc7e1a0439af8fd

Observation 51b43956-3996-4d02-bb88-fe14b3bf163e · inbound

Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization cites this paper.

Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization The information bottleneck method

Reference 1998

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source=pdf_text observed=2026-08-15T18:02:17.833618Z digest=sha256:e6913c1af70b8018695b2005a2b5a15b5755ce2836447559d1bc8fdaccfc4eb2