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Paper Citation Record · LEDGER

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition

As of 8 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.08249.

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

pith.paper-citation-record.v1
2607.08249 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T10:40:18.020182Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

57 of 57 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6457960e-69bf-4510-8e6e-dd0c040abdf7 · outbound

This paper cites Contour detection and hierarchical image seg- mentation.IEEE transactions on pattern analysis and ma- chine intelligence, 33(5):898–916, 2010.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Contour detection and hierarchical image seg- mentation.IEEE transactions on pattern analysis and ma- chine intelligence, 33(5):898–916, 2010

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ce5e0215-acbd-46ab-b5bc-0d19f4219315 · outbound

This paper cites Learning physical graph repre- sentations from visual scenes.Advances in Neural Informa- tion Processing Systems, 33:6027–6039, 2020.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Learning physical graph repre- sentations from visual scenes.Advances in Neural Informa- tion Processing Systems, 33:6027–6039, 2020

Reference 2

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verified fuzzy
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Source-reported events for the cited work

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Observation 3ec8702f-be84-4e85-ab47-3967d0c153bf · outbound

This paper cites MONet: Unsupervised Scene Decomposition and Representation.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition MONet: Unsupervised Scene Decomposition and Representation

Reference 3

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Observation ef213b7c-4e9d-48e9-a99c-ea0839657692 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Emerg- ing properties in self-supervised vision transformers

Reference 4

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verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.459483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 40510190-d520-4d55-8225-b6c145fdffc9 · outbound

This paper cites Neural slot interpreters: Grounding object semantics in emergent slot representations.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Neural slot interpreters: Grounding object semantics in emergent slot representations

Reference 5

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verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.452672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6c3187ba-e9bd-40dd-b46e-d6ac9a38fdf7 · outbound

This paper cites CTRL-O: Language-Controllable Object-Centric Visual Representation Learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition CTRL-O: Language-Controllable Object-Centric Visual Representation Learning

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8ac269b8-6ffa-4d7e-a003-5bdf1d89e411 · outbound

This paper cites Weakly supervised learning of multi-object 3d scene decompositions using deep shape priors.Computer Vision and Image Understanding, 220:103440, 2022.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Weakly supervised learning of multi-object 3d scene decompositions using deep shape priors.Computer Vision and Image Understanding, 220:103440, 2022

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 12ddaa52-2ceb-4604-a1aa-224cfa77ad92 · outbound

This paper cites SA Vi++: Towards end-to-end object-centric learning from real-world videos.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition SA Vi++: Towards end-to-end object-centric learning from real-world videos

Reference 8

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5507c9e5-73a9-4744-9f1b-fbca5cff4baa · outbound

This paper cites Genesis: generative scene inference and sampling of object- centric latent representations.Proceedings of the ICLR,.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Genesis: generative scene inference and sampling of object- centric latent representations.Proceedings of the ICLR,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e7bb8dab-393f-4ef1-b888-92125db4de80 · outbound

This paper cites Attend, infer, repeat: Fast scene understanding with generative models.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Attend, infer, repeat: Fast scene understanding with generative models

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 568f36ae-5a66-40db-8ad7-35ba55592686 · outbound

This paper cites The pascal visual object classes (voc) challenge.International journal of computer vision, 88(2):303–338, 2010.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition The pascal visual object classes (voc) challenge.International journal of computer vision, 88(2):303–338, 2010

Reference 11

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verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.488529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bd451614-c81f-4edd-b0cc-07b67b32ea27 · outbound

This paper cites Adap- tive slot attention: Object discovery with dynamic slot num- ber.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Adap- tive slot attention: Object discovery with dynamic slot num- ber

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cfc4ada3-519a-40dc-8635-4d4c8444a328 · outbound

This paper cites En- hancing interpretable object abstraction via clustering-based slot initialization.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition En- hancing interpretable object abstraction via clustering-based slot initialization

Reference 13

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verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.542910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8a213a59-7b65-452b-ad57-c2db8181c67b · outbound

This paper cites Multi-object representation learning with iterative variational inference.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Multi-object representation learning with iterative variational inference

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation de4de2e9-623f-4af9-b67f-756fba9baa7f · outbound

This paper cites On the Binding Problem in Artificial Neural Networks.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition On the Binding Problem in Artificial Neural Networks

Reference 15

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Observation 97d889bb-a601-4cf4-ae1f-b39063216931 · outbound

This paper cites Slot- match: Distilling object-centric representations for unsuper- vised video segmentation.arXiv preprint arXiv:2508.03411,.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Slot- match: Distilling object-centric representations for unsuper- vised video segmentation.arXiv preprint arXiv:2508.03411,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b0d8729d-7b47-4f59-accf-90492b3bf922 · outbound

This paper cites How to represent part-whole hierarchies in a neu- ral network.Neural Computation, 35(3):413–452, 2023.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition How to represent part-whole hierarchies in a neu- ral network.Neural Computation, 35(3):413–452, 2023

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a847c2ec-ff57-420c-b5ab-44c2b6bde098 · outbound

This paper cites Matrix capsules with EM routing.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Matrix capsules with EM routing

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 190b10d8-57a3-490b-9d43-a3369404d263 · outbound

This paper cites Improving object- centric learning with query optimization.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Improving object- centric learning with query optimization

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fa0025a9-ae0b-4c0b-b738-3fc8317be036 · outbound

This paper cites Improving object- centric learning with query optimization.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Improving object- centric learning with query optimization

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a11283ba-3551-4ca0-9a91-82c8fcf1f10b · outbound

This paper cites SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e41121a2-dbbb-4dac-b443-0ae7951b92f0 · outbound

This paper cites Shepherding slots to objects: Towards stable and ro- bust object-centric learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Shepherding slots to objects: Towards stable and ro- bust object-centric learning

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation cd2bbf7b-2e98-457f-bc26-66912cd9da1b · outbound

This paper cites Kingma and Max Welling.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Kingma and Max Welling

Reference 23

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Observation c67227fa-585f-4d80-8730-a1dfcce1d5f4 · outbound

This paper cites Elsayed, Aravindh Mahen- dran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jon- schkowski, Alexey Dosovitskiy, and Klaus Greff.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Elsayed, Aravindh Mahen- dran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jon- schkowski, Alexey Dosovitskiy, and Klaus Greff

Reference 24

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raw_fallback, observed 2026-07-10T10:47:02.526197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation daf4be9c-a669-4e07-80f5-2fb39f08874c · outbound

This paper cites Stacked capsule autoencoders.Advances in neural information processing systems, 32, 2019.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Stacked capsule autoencoders.Advances in neural information processing systems, 32, 2019

Reference 25

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raw_fallback, observed 2026-07-10T10:47:02.530101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 35ddaf49-6227-409e-af0e-40143f8fdd7e · outbound

This paper cites Improving visual recognition with hyperbolical visual hierarchy mapping.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Improving visual recognition with hyperbolical visual hierarchy mapping

Reference 26

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verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.529438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a4250465-741b-4b4f-bf2d-e58229afc8c5 · outbound

This paper cites Deep hierarchical semantic segmentation.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Deep hierarchical semantic segmentation

Reference 27

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raw_fallback, observed 2026-07-10T10:47:02.512490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f4025471-1c51-4f46-842e-5646ba0c4e20 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Microsoft COCO: Common Objects in Context

Reference 28

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raw_fallback, observed 2026-07-10T10:47:02.516083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:9ccdaabf33d390d9bf98acaf0211b975382a5e0d3da2337b5f80c7929e3493e4

Observation 04f45b28-d18f-4f10-9353-409e8257d360 · outbound

This paper cites Break through the fixed number of slots in object- centric learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Break through the fixed number of slots in object- centric learning

Reference 29

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verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.514321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation b845267e-987b-451a-b2c3-41b3325d84a7 · outbound

This paper cites Slotlifter: Slot-guided feature lifting for learning object- centric radiance fields.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Slotlifter: Slot-guided feature lifting for learning object- centric radiance fields

Reference 30

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raw_fallback, observed 2026-07-10T10:47:02.531304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation a31ae12a-e002-476c-98fe-2c16c0abe8e8 · outbound

This paper cites Object- centric learning with slot attention.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Object- centric learning with slot attention

Reference 31

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raw_fallback, observed 2026-07-10T10:47:02.538068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:593bfa5f1f7bd3be4637a58fa35513f4b728723ace3b26e29cdc76e6e90caae8

Observation f55c0c09-7d1c-48c3-90e1-ae3e54f93b5d · outbound

This paper cites A hyperbolic perspective on hierarchical struc- ture in object-centric scene representations.Proceedings of CVPR Workshops, 2026.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition A hyperbolic perspective on hierarchical struc- ture in object-centric scene representations.Proceedings of CVPR Workshops, 2026

Reference 32

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raw_fallback, observed 2026-07-10T10:47:02.546297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:008d6f91f7217b86c0b044e8322f07b4f1123e1c3f9b2d19ec539eeb870ac51f

Observation c99d1597-6362-44d3-b604-b105b242ada5 · outbound

This paper cites Temporally consistent object-centric learning by contrasting slots.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Temporally consistent object-centric learning by contrasting slots

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.535288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:a2e78b0fb5a3dbc00ac0cfcce46ad3f4c7b16c89e3ec8c521f42790844eeb236

Observation ed2c8fef-6fbe-471f-ac7d-54153868d726 · outbound

This paper cites DINOv2: Learning robust visual features without supervi- sion.Transactions on Machine Learning Research, 2024.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition DINOv2: Learning robust visual features without supervi- sion.Transactions on Machine Learning Research, 2024

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.506694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:e24dcc4b613c17ec9eb1aaab30d3e6caa991d192249bc92a9f752c64e1cded88

Observation e50e77eb-2908-44ba-9ae7-b8edee7091d5 · outbound

This paper cites Multiscale combinatorial grouping for image segmentation and object proposal gener- ation.IEEE TPAMI, 39(1):128–140, 2016.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Multiscale combinatorial grouping for image segmentation and object proposal gener- ation.IEEE TPAMI, 39(1):128–140, 2016

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.502666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:de7e454cef734433151e0ec48bcb647af4da756a76f5b8aaab257715fc8ad139

Observation b02d5e8b-3bdc-4486-ba26-5184a8679382 · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Learn- ing transferable visual models from natural language super- vision

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.510311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:dd47aee1e371f33606024b4268d22ad148ade8dc0d1f508220b27c2e9bb5ebd8

Observation 285b5bd0-14e9-4527-be3f-f6d3ff18c866 · outbound

This paper cites Dy- namic routing between capsules.Advances in neural infor- mation processing systems, 30, 2017.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Dy- namic routing between capsules.Advances in neural infor- mation processing systems, 30, 2017

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.500923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:eccb03d1c8faa4a7c7217828931e9e87eb1e7293f325e623065ea20dba7c8f62

Observation 496d545f-049a-4978-b0e7-f548e0221f61 · outbound

This paper cites Object scene representation transformer.Advances in neural infor- mation processing systems, 35:9512–9524, 2022.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Object scene representation transformer.Advances in neural infor- mation processing systems, 35:9512–9524, 2022

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.508541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:80f6784e2ebeea25bbcdfd65231bdde4588d43a65bf5a15758154c54af723be0

Observation 68c1ea1b-df99-4591-9500-c17eff18eaa5 · outbound

This paper cites Bridging the gap to real-world object-centric learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Bridging the gap to real-world object-centric learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.544553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:5ed5ba31512095e735bff0f174c95d777631c94c9a6e4461e54873313e8f6bdf

Observation 53b72e6b-768a-44c3-b0c2-6afe4ff28425 · outbound

This paper cites Hierarchy and adaptivity in segmenting visual scenes.Nature, 442(7104):810–813, 2006.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Hierarchy and adaptivity in segmenting visual scenes.Nature, 442(7104):810–813, 2006

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.490434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:2be25231765b7298324e50c22358e85a5bde6f9de588e6825a25ba5bbaa70a29

Observation 8212a679-6a78-46c2-a5e1-576f6d20e4f5 · outbound

This paper cites Illiterate dall-e learns to compose.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Illiterate dall-e learns to compose

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.492098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:db09ce54539805f06dd1c38521bb92b1d8fc34258892f834397391955fc1bfd2

Observation db676ef4-ce5d-42ff-89b2-58d9abd34bfa · outbound

This paper cites Unsupervised discovery and composition of object light fields.TMLR, 2023.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Unsupervised discovery and composition of object light fields.TMLR, 2023

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.494000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:f768f953fbd7e051ceb07133809951e0c58b1cb5d0420bc2919f7683222d1509

Observation 216e017f-21db-418e-948e-30090d6e70d7 · outbound

This paper cites Principles of object perception.Cogni- tive science, 14(1):29–56, 1990.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Principles of object perception.Cogni- tive science, 14(1):29–56, 1990

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.486554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:1e7d35c59d2664f56c81896c959f77d907e53500870d3ebbfc9967097d77ff25

Observation 15f30edf-5ff0-4fd3-981a-a10bedbbe7db · outbound

This paper cites Language-mediated, object-centric representation learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Language-mediated, object-centric representation learning

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.483776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:47ceaebde1e7ea8b8addfb628afc88ee277cf8f275cf5a605bd6787f37cf6491

Observation 1a2e52af-0ad2-4ef9-a988-37b022d4ac16 · outbound

This paper cites Learning visual hierarchies in hyperbolic space for image re- trieval.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Learning visual hierarchies in hyperbolic space for image re- trieval

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.498267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:45da5b4effd9b5bdacbd08d815f1fbb596af44ac1c908f1f8c2bb96423cb5c93

Observation 056233bd-2d7b-4355-8fba-9789684819d6 · outbound

This paper cites The Macmillan company, New York, 1927.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition The Macmillan company, New York, 1927

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.533677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:f6f8d00193a7067209e6d78a27a239b1460e5118f584a0c524e8a5d511e1e5b7

Observation 6a6b95ea-25d6-40d6-9b06-6ea72569fdb7 · outbound

This paper cites Slotdiffusion: Object-centric generative model- ing with diffusion models.Advances in Neural Information Processing Systems, 36:50932–50958, 2023.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Slotdiffusion: Object-centric generative model- ing with diffusion models.Advances in Neural Information Processing Systems, 36:50932–50958, 2023

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.478323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:0dd33ad5223845a2dc93ec20a596263cc40fff99bf4468a91957161a5c72d14b

Observation 2e7d2647-1eb0-4fa0-8fc8-e9546727dc98 · outbound

This paper cites Groupvit: Semantic segmentation emerges from text supervision.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Groupvit: Semantic segmentation emerges from text supervision

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.484510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:54ea19cc910412f810abcd7c1d489dfc9bebba570dfd6d9cfbd3a1ef4f8de246

Observation e0e8ea7a-85b9-45fd-bf0b-3b2edb97951c · outbound

This paper cites Unsuper- vised discovery of object radiance fields.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Unsuper- vised discovery of object radiance fields

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.495743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:918eb27f2845754464e1320ce66e9f580c065c910a4834732ae3299a9b6a435f

Observation 91aea904-ec0c-4f77-8df7-463a43d1edbe · outbound

This paper cites Object-centric learning for real-world videos by predict- ing temporal feature similarities.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Object-centric learning for real-world videos by predict- ing temporal feature similarities

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.469634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:9c1ea156460928de09983b480906aaec8c4eace8685bab28b20abd2d74db4459

Observation 3b66c018-614c-4943-b232-582cb6014c02 · outbound

This paper cites S4l: Self-supervised semi-supervised learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition S4l: Self-supervised semi-supervised learning

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.471669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:d5e9e04b90385502e5a26236fbca39e72c12b00d3c37e907eb97baa2bbc43f28

Observation fd7fcf1c-634e-467c-acd7-a706b7eb4f23 · outbound

This paper cites Vector-quantized vision foundation models for object-centric learning.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Vector-quantized vision foundation models for object-centric learning

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.478489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:dedace6723a09a30cb9e8e6003ef37de990f928aa26bd0485517d3c3f6e60c9b

Observation 66737331-a600-4e91-b969-569dc78c1e36 · outbound

This paper cites Slot attention with re-initialization and self-distillation.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Slot attention with re-initialization and self-distillation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.463290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:b3db3d608ef18b1394ea711f15e39fc54d5251470e53a33e481af7653665735b

Observation 2e8e8c38-25d9-419a-8a56-d7d647bf4e70 · outbound

This paper cites Predicting video slot attention queries from random slot-feature pairs.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Predicting video slot attention queries from random slot-feature pairs

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.466867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:2cddaa46f86297ac233bd161c1172cc2a42fb72fb356d31a6e91a26dcdf61857

Observation b03f0210-33e6-4595-857a-0a88aef65669 · outbound

This paper cites Smoothing slot attention iterations and recurrences.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Smoothing slot attention iterations and recurrences

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.464936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:efb300f2b07b3b84a9b8e482d0e02aabd233c9a37ff6a278311417bff494c0c2

Observation ab7768a9-f639-41af-87c4-ee92fb894e07 · outbound

This paper cites an unresolved cited work.

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-10T10:47:02.497415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:77171d1310a3a1c7a74ef576e6e253fb7b1879e4e253dc42e42e24ec37126216

Observation 0b54d49c-904b-47f7-80ef-de48d530ad56 · outbound

This paper cites Results on COCO val 2017.Figure 4 shows additional qualitative results on COCO val2017 [28].

HSA: Hierarchical Slot Attention for Multi-granularity Scene-Decomposition Results on COCO val 2017.Figure 4 shows additional qualitative results on COCO val2017 [28]

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T10:47:02.476769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-10T10:40:18.020182Z digest=sha256:93a7dd39db1ba4ffa9bdac8f080ff72d91bced1ebfbe4e2f1fd502a2dbc8e51f

Pith citing papers

No inbound Pith citation observations are available.