Paper Citation Record · LEDGER

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory

As of 11 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.19820.

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

pith.paper-citation-record.v1
2505.19820 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:13:19.844666Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy31
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e6540fe-ece9-468a-893a-4c3f635d6285 · outbound

This paper cites write newline.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:14.912664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e8382de-a79f-4b16-9334-04ec3859043a · outbound

This paper cites Deep Variational Information Bottleneck.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Deep Variational Information Bottleneck

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:14.981394Z

Source-reported events for the cited work

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Observation 1b58bed4-b240-425f-8f09-f97ff2546800 · outbound

This paper cites R., Jiang, H., Brilakis, I., Fischer, M., and Savarese, S.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., Jiang, H., Brilakis, I., Fischer, M., and Savarese, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:26.204586Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fad0bbe4-be26-41da-b561-10de57420ff3 · outbound

This paper cites Explaining a black-box by using a deep variational information bottleneck approach.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Explaining a black-box by using a deep variational information bottleneck approach

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:26.030098Z

Source-reported events for the cited work

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Observation d32904d6-2e75-4ee9-a8fa-4ac6b49efcb4 · outbound

This paper cites and Bethge, M.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory and Bethge, M

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.831020Z

Source-reported events for the cited work

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Observation 11246267-34b8-4327-8a10-ddac266484b7 · outbound

This paper cites ShapeNet: An Information-Rich 3D Model Repository.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory ShapeNet: An Information-Rich 3D Model Repository

Reference 6

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Source-reported events for the cited work

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Observation 76faffa7-c715-4168-ac1e-3c3da4a4a429 · outbound

This paper cites Learning to explain: An information-theoretic perspective on model interpretation.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Learning to explain: An information-theoretic perspective on model interpretation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.726994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2aa1616d-dd0e-49f2-adc1-dbd9e4979d9e · outbound

This paper cites Unifying fourteen post-hoc attribution methods with taylor interactions.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Unifying fourteen post-hoc attribution methods with taylor interactions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.584795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8ba6315e-4ba5-4e42-a7fc-247766898132 · outbound

This paper cites Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Interpretable3d: An ad-hoc interpretable classifier for 3d point clouds

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.445941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64506912-4af0-4ec5-b60b-3ef0a36eecd3 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.289202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9c2da296-5bcd-4a35-a92d-74ad5d5da1bc · outbound

This paper cites R., and Hu, S.-M.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., and Hu, S.-M

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.125603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2fa4ed5a-645b-405f-861b-831f0d5c542f · outbound

This paper cites Towards better visualizing the decision basis of networks via unfold and conquer attribution guidance.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Towards better visualizing the decision basis of networks via unfold and conquer attribution guidance

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:25.004005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55ad6ef7-067c-4b84-a4b4-ca4ed25c8355 · outbound

This paper cites Shape-invariant 3d adversarial point clouds.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Shape-invariant 3d adversarial point clouds

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:24.776237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af20500a-eb4c-4065-ba91-82a3aac8de92 · outbound

This paper cites Minimal adversarial examples for deep learning on 3d point clouds.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Minimal adversarial examples for deep learning on 3d point clouds

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:24.609479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3c7baff7-0ba4-4eb1-914c-1580184e099c · outbound

This paper cites W., Nguyen, T., Tang, Y.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory W., Nguyen, T., Tang, Y

Reference 15

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Source-reported events for the cited work

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Observation a1cd3a7a-67a3-4209-8de2-c80706a098be · outbound

This paper cites H., Vora, S., Caesar, H., Zhou, L., Yang, J., and Beijbom, O.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory H., Vora, S., Caesar, H., Zhou, L., Yang, J., and Beijbom, O

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:24.463680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 42a34af0-9185-4cc2-bd46-b403bd540a96 · outbound

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InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7faf1a3-49b8-4f42-8537-152bb69f6f5b · outbound

This paper cites Robustifying Point Cloud Networks by Refocusing.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Robustifying Point Cloud Networks by Refocusing

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:13:20.145061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a46c75dd-7c4f-4b7c-a324-74eb0fa25a3d · outbound

This paper cites B., and Saligrama, V.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory B., and Saligrama, V

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:24.082339Z

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Observation dcedb112-0579-4dcb-b766-e69375853511 · outbound

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InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 73318314-3dfe-4f2b-8286-07551a9fccce · outbound

This paper cites Ffam: Feature factorization activation map for explanation of 3d detectors.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Ffam: Feature factorization activation map for explanation of 3d detectors

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:23.606689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d8025d96-8d5d-4424-b4bb-70b69ac6b57a · outbound

This paper cites Point-voxel cnn for efficient 3d deep learning.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Point-voxel cnn for efficient 3d deep learning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:23.428055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation fd7d253d-65ab-473a-a4d9-1ef766f0699a · outbound

This paper cites Timex++: Learning time-series explanations with information bottleneck.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Timex++: Learning time-series explanations with information bottleneck

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:23.223116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 558d5725-4b96-4e8d-bd69-5ac93d52a090 · outbound

This paper cites Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework

Reference 24

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Source-reported events for the cited work

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Observation 65dc361b-cc2f-4acd-a5a2-02fd153f6dab · outbound

This paper cites Curvenet: Curvature-based multitask learning deep networks for 3d object recognition.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Curvenet: Curvature-based multitask learning deep networks for 3d object recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.996518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1b18893-c6a9-411d-a979-0b2c36022ed1 · outbound

This paper cites R., Su, H., Mo, K., and Guibas, L.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., Su, H., Mo, K., and Guibas, L

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.867776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 28bbeba3-5226-433b-9fb0-cadbc95098cb · outbound

This paper cites R., Yi, L., Su, H., and Guibas, L.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., Yi, L., Su, H., and Guibas, L

Reference 27

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Source-reported events for the cited work

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Observation 16de6faf-3491-4540-9769-b47504702b0c · outbound

This paper cites A practical review of mechanistic interpretability for transformer-based language models.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory A practical review of mechanistic interpretability for transformer-based language models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:18.150169Z

Source-reported events for the cited work

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Observation bc68beae-3992-4206-8833-a635c48b58c3 · outbound

This paper cites why should i trust you?.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory why should i trust you?

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.742385Z

Source-reported events for the cited work

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Observation 9dc90e3c-e718-4ade-94bf-aea3e630398a · outbound

This paper cites M., and Bischof, H.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory M., and Bischof, H

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.585537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cecce8e6-9c57-47b4-9baa-da02160b0e24 · outbound

This paper cites Restricting the Flow: Information Bottlenecks for Attribution.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Restricting the Flow: Information Bottlenecks for Attribution

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:13:18.481996Z

Source-reported events for the cited work

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Observation 16c9d81e-ac02-42ab-9737-a26ce0341fab · outbound

This paper cites R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., and Batra, D

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.338335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 14bea0b3-868f-4673-8ca1-155e7ce43d79 · outbound

This paper cites Visualizing global explanations of point cloud dnns.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Visualizing global explanations of point cloud dnns

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:22.073765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9eadaf6-bb4d-4c12-80a1-4a72bc548a43 · outbound

This paper cites and Kotthaus, H.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory and Kotthaus, H

Reference 34

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Source-reported events for the cited work

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

This paper cites The information bottleneck method.

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

Reference 35

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Source-reported events for the cited work

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Observation c21f58f1-493b-491c-b61f-8f1fff223c5b · outbound

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InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory A., Pham, Q.-H., Hua, B.-S., Nguyen, T., and Yeung, S.-K

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.684255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11990140-25b8-4e1b-8027-e3d64795797b · outbound

This paper cites E., Bronstein, M.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory E., Bronstein, M

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.531144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation df20b97b-b2ee-459b-865e-711709220e19 · outbound

This paper cites Point transformer v3: Simpler faster stronger.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Point transformer v3: Simpler faster stronger

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.300094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cfbe7f4d-f809-4894-9ef7-6a4e0b07083f · outbound

This paper cites 3d shapenets: A deep representation for volumetric shapes.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory 3d shapenets: A deep representation for volumetric shapes

Reference 39

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Source-reported events for the cited work

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Observation a48f638e-0895-4a05-b5d9-86d185d50925 · outbound

This paper cites R., and Li, B.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., and Li, B

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:21.122034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 92dec160-ea05-4eac-bbbd-e7582156c538 · outbound

This paper cites R., Guibas, L., and Litany, O.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory R., Guibas, L., and Litany, O

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.921873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b1f27b77-590b-4529-b4bb-d529c441152a · outbound

This paper cites Learning geometry-disentangled representation for complementary understanding of 3d object point cloud.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Learning geometry-disentangled representation for complementary understanding of 3d object point cloud

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.773792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54a81c8f-6393-4b9b-a1d6-89aa0ae498b5 · outbound

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InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Pointcloud saliency maps

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.546320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 54e06c98-6c4b-47d3-a0a0-79001f32fade · outbound

This paper cites Explaining generalization power of a dnn using interactive concepts.

InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory Explaining generalization power of a dnn using interactive concepts

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:13:20.356972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.