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Paper Citation Record · LEDGER

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies

As of 17 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2505.12404.

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

pith.paper-citation-record.v1
2505.12404 v1

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:39:46.761599Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

63 of 63 outbound references displayed

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  • verified fuzzy44
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fc6de26-0d72-42e4-9c9e-4f37b996ecc4 · outbound

This paper cites Claude 3.5 sonnet.https://anthropic.com/claude, 2024.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Claude 3.5 sonnet.https://anthropic.com/claude, 2024

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ba0c349f-53c8-4d3e-9aa4-ec9a1b96e667 · outbound

This paper cites Hyperbolic image segmentation.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic image segmentation

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2bc5d73d-7e21-4802-93a8-9852278d9c83 · outbound

This paper cites Hospedales.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hospedales

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.700678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6ac709bb-121e-46bc-bcee-47c9d56fdf7e · outbound

This paper cites Riemannian Adaptive Optimization Methods.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Riemannian Adaptive Optimization Methods

Reference 4

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no resolver link, observed 2026-08-15T20:39:46.520175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.520175Z digest=sha256:441600d3b0e079437a3f3a9278024727fa5d986cf8398766c087bf6c6d189f92

Observation 54d6e3c3-192a-4668-b4e4-cba33c33a735 · outbound

This paper cites A neural probabilistic language model.Journal of machine learning research, (Feb), 2003.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies A neural probabilistic language model.Journal of machine learning research, (Feb), 2003

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.685973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.525629Z digest=sha256:b7027e6aaff75c1c29aabd689d38a5b7b01e5fe76840cebbb428181adc9d1871

Observation 9ff8ddb3-c29a-4ea6-b3bc-75fc2fc1fedb · outbound

This paper cites Stochastic gradient descent on riemannian manifolds.IEEE Transactions on Automatic Control, (9), 2013.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Stochastic gradient descent on riemannian manifolds.IEEE Transactions on Automatic Control, (9), 2013

Reference 6

Resolution
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raw_fallback, observed 2026-08-15T20:39:47.672200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation e98e166c-99b8-44be-bc95-676a2c684c47 · outbound

This paper cites Translating embeddings for modeling multi-relational data.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Translating embeddings for modeling multi-relational data

Reference 7

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raw_fallback, observed 2026-08-15T20:39:47.659584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.534187Z digest=sha256:bcbf3f9661a6e14bb5606b4fa4f7b2887b9b6c9c45ab8ad543853d3c21abe18b

Observation faf2b30a-85cd-48a2-94c8-12de42c5f5ea · outbound

This paper cites Hyperbolic geometry.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic geometry

Reference 8

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raw_fallback, observed 2026-08-15T20:39:47.646340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.538058Z digest=sha256:702c81ff1fd76630f4bbc88c2c68f057b3c9288099d72fb5ae253173e95cdf52

Observation 4f7b420d-b5b4-4be0-9382-b3c035ac17d2 · outbound

This paper cites Hyperbolic Deep Reinforcement Learning.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic Deep Reinforcement Learning

Reference 9

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no resolver link, observed 2026-08-15T20:39:46.542151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.542151Z digest=sha256:2b5c0fead9f3604e61c041977426c663e82686e63c215e6cb409a66366640329

Observation 125b5a58-9097-4305-b33f-24f96d1918b5 · outbound

This paper cites Scalable Hyperbolic Recommender Systems.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Scalable Hyperbolic Recommender Systems

Reference 10

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no resolver link, observed 2026-08-15T20:39:46.546190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.546190Z digest=sha256:33aa2b569f89f009eddd248119b5c74100a86104f6cabc9af2b0fc536093f3b2

Observation 8013f9a7-8dfb-4ffd-acc1-1ecc27370407 · outbound

This paper cites From trees to continuous embeddings and back: Hyperbolic hierarchical clustering.Advances in Neural Information Processing Systems, 2020.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies From trees to continuous embeddings and back: Hyperbolic hierarchical clustering.Advances in Neural Information Processing Systems, 2020

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.631746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 32355c1f-0ada-477f-b559-cd1695fdd1f7 · outbound

This paper cites Low- dimensional hyperbolic knowledge graph embeddings.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Low- dimensional hyperbolic knowledge graph embeddings

Reference 12

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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 2026-08-17T06:30:58.91139+00:00.

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Observation d884a84d-3f90-49a9-9d05-d4257bf366a8 · outbound

This paper cites MIT press, 1969.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies MIT press, 1969

Reference 13

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raw_fallback, observed 2026-08-15T20:39:47.604369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.559017Z digest=sha256:d02f5d1a72d6b3b31635dc34974ddf1e063d2871809d9b38a0056c88bee0d1c7

Observation 678f5271-9bcf-4f08-b5bb-874dabef22c0 · outbound

This paper cites Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Modeling scale-free graphs with hyperbolic geometry for knowledge-aware recommendation

Reference 14

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raw_fallback, observed 2026-08-15T20:39:47.591171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.562932Z digest=sha256:6b8e416e8de93887dc510c855c8e17101c0b6dc2afde7f30ca4a9342ffeef73d

Observation 4d86b363-2530-48f8-ad98-732c8dfeed04 · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Taming transformers for high-resolution image synthesis

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.577927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.566881Z digest=sha256:8b72bc11ae12c70e45b0feea7b74dbd3184d005562569d9b503e85a5be1fba17

Observation 373e3645-270f-4d26-a9fb-5c629490ec47 · outbound

This paper cites Hyperbolic neural networks.Advances in neural information processing systems, 31, 2018.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic neural networks.Advances in neural information processing systems, 31, 2018

Reference 16

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no resolver link, observed 2026-08-15T20:39:46.571074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.571074Z digest=sha256:cc9d94f601a3287a7704f0300c64a4289983c2e525c5bc3e203afe18aabdac54

Observation 534de797-dd57-479a-bebb-604df7fa4efd · outbound

This paper cites Hyperbolic entailment cones for learning hierarchical embeddings.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic entailment cones for learning hierarchical embeddings

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.554845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.575551Z digest=sha256:f0cf167488cae86b335cf7cf95631e485f40a2f99cac8a66ed749598c261d746

Observation b2d9de7f-022b-4bf6-89b1-06483f02be44 · outbound

This paper cites Hyperbolic entailment cones for learning hierarchical embeddings.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic entailment cones for learning hierarchical embeddings

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.540520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.579598Z digest=sha256:4c4736217f3cc54f49d6c2e9b07a8ffe0930b7068c6d77e84a38fec5e1af39fc

Observation 2ccc8b3f-850e-4908-b63b-aee9af8877a8 · outbound

This paper cites Generative adversarial networks.Communications of the ACM, (11), 2020.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Generative adversarial networks.Communications of the ACM, (11), 2020

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.525876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.583796Z digest=sha256:e062ac3aa5f1a8790f74844b89f9b57c381b5d62d417919813a8c812e133f1df

Observation 7dadf1e8-01b0-4ff3-b249-91897d6956ad · outbound

This paper cites HyperVQ: MLR-based Vector Quantization in Hyperbolic Space.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies HyperVQ: MLR-based Vector Quantization in Hyperbolic Space

Reference 20

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no resolver link, observed 2026-08-15T20:39:46.587791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.587791Z digest=sha256:047ff9e426c4125b3d557bfe3e116502fc6af586e9cccee329d2be688c526879

Observation dde06f21-a768-494d-aecd-efe9709e032b · outbound

This paper cites Vector quantization.IEEE Assp Magazine, (2), 1984.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Vector quantization.IEEE Assp Magazine, (2), 1984

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.511875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.592285Z digest=sha256:0234ab028565c5e5e2b5be7cf32a49a8bd846df1c7d13ce105e7703605b5f6ec

Observation 8662f517-1213-4dfe-ac3e-3518c165de66 · outbound

This paper cites Hyperbolic groups.Essays in Group Theory, 1987.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic groups.Essays in Group Theory, 1987

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.498302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.596021Z digest=sha256:0be97ce12d184bd0e4e8e2f88fad4fd554dc17664ab3c7eee9be327794aaca3c

Observation 16aa1cbe-3804-4915-9a6d-82a1c75f5ca0 · outbound

This paper cites On the tree-likeness of hyperbolic spaces.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies On the tree-likeness of hyperbolic spaces

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.484600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.599960Z digest=sha256:7c30a4fdcf9be2a128c43fda3794244af614bbaa32152487b82c8ae28ba88706

Observation f3d9aab4-5fcc-4753-a4ce-a6838053d74f · outbound

This paper cites The movielens datasets: History and context.ACM Transactions on Interactive Intelligent Systems (TIIS), (4), 2015.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies The movielens datasets: History and context.ACM Transactions on Interactive Intelligent Systems (TIIS), (4), 2015

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.471366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.604177Z digest=sha256:0a07bf7815ea7701e82c4e5bcbdf835ab523b706b0153f46ce8bf74f1afec241

Observation e6fcb8aa-626a-49b2-89cf-ea18ed1efcfa · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 2020.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 2020

Reference 25

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no resolver link, observed 2026-08-15T20:39:46.608635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.608635Z digest=sha256:06ed2483950b9285c5223f0b282f1a2f0882c78cd7bb17405ffac279c94218e3

Observation e3c0b9fb-c98c-4b7f-a1e5-c682e0af6293 · outbound

This paper cites How to index item ids for recommendation foundation models.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies How to index item ids for recommendation foundation models

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.449469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.613390Z digest=sha256:72fd829921c487eef988f58b01ad5794a5ea1987447052142c98cfa9ecb83932

Observation 10c0df43-f00f-4bfb-95cd-0be5557bb63f · outbound

This paper cites Routledge, 2013.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Routledge, 2013

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.436113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.617272Z digest=sha256:8acc25a1520da000fbdd8dd20c0b15317c73722345b130299480ff39abf7f063

Observation 1e660b97-3eaf-42c2-a06c-7ca5b1c2ad1a · outbound

This paper cites Self-attentive sequential recommendation.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Self-attentive sequential recommendation

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.423567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.621290Z digest=sha256:161b32542bbb65688f9fca061b63e82ed5a742294391e8a4526650f0ccc63838

Observation 78322645-135b-4372-aa1a-807cf75e9f37 · outbound

This paper cites Hyperbolic image embeddings.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic image embeddings

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.410605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.625538Z digest=sha256:69f25f8fbd46139729b9be418bef01a2cba97209fa2d270beb426c0ff04347a5

Observation e1e6cbfd-0976-4d0a-a615-670b4a2c5c35 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Adam: A Method for Stochastic Optimization

Reference 30

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unresolved
no resolver link, observed 2026-08-15T20:39:46.629460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.629460Z digest=sha256:c8ad040f6eb11fa4eb39b86de1a2c9891270b521d4bb9865ec9f6c886f793d60

Observation 407b1844-54da-4e87-9d51-909de9cf3759 · outbound

This paper cites Hyperbolic geometry of complex networks.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, (3), 2010.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hyperbolic geometry of complex networks.Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, (3), 2010

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.397090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.633709Z digest=sha256:d6bb2e06f0f8b3dbf9a0962ae1cbe6f1e8d7fcdce092de21c1fd4329a7c90bfc

Observation 37c722ae-4f95-495c-91cd-0d0e6dc62a6c · outbound

This paper cites Autoregressive image generation using residual quantization.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Autoregressive image generation using residual quantization

Reference 32

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no resolver link, observed 2026-08-15T20:39:46.637503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.637503Z digest=sha256:094ed886ebccb4488f5720e16c5cf26f77d53cb06d78b295cd7c30dd249234fa

Observation 5d1b679b-d4cb-4e13-adfd-1620f99fc5aa · outbound

This paper cites Fully hyperbolic rotation for knowledge graph embedding.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Fully hyperbolic rotation for knowledge graph embedding

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.376173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.641766Z digest=sha256:b3015f5c3d3e802dce744fd29a47a73a610c6284584638d962c7230568a4236b

Observation ab0a8645-3992-4085-9db8-9d06a05f899c · outbound

This paper cites Fully hyperbolic rotation for knowledge graph embedding.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Fully hyperbolic rotation for knowledge graph embedding

Reference 34

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no resolver link, observed 2026-08-15T20:39:46.645467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.645467Z digest=sha256:01e7b894da8f13b22e33efb0dbfec801b9c1c3990573394631c2b7a9dc4c2523

Observation 9cec6468-5cd6-4386-a053-be1a0e25ccb8 · outbound

This paper cites HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.649383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.649383Z digest=sha256:01db4a033b5d6b1943247dcf4128088ccb4c56577ed4d67e35728d049fca7afe

Observation eac05155-b334-47ec-95f9-29f076230ea5 · outbound

This paper cites The role of systematics in biology: The study of all aspects of the diversity of life is one of the most important concerns in biology.Science, (3815), 1968.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies The role of systematics in biology: The study of all aspects of the diversity of life is one of the most important concerns in biology.Science, (3815), 1968

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.363797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.653575Z digest=sha256:b3a22f03cf20b43ed5708307a1284e30ff14f6459bff6f8943ecb47cd470355b

Observation 6f491dbb-2dbb-4045-97c9-f4b68f116462 · outbound

This paper cites Image-based recommendations on styles and substitutes.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Image-based recommendations on styles and substitutes

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.351560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.657492Z digest=sha256:69a941b20180740001deb8cf56e3ccdb597817b04f1bd05fb43d4489819b8e89

Observation 9b95ffbd-6b7c-4cc5-a4ea-16250e6274a0 · outbound

This paper cites A fast file system for unix.ACM Transactions on Computer Systems (TOCS), (3), 1984.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies A fast file system for unix.ACM Transactions on Computer Systems (TOCS), (3), 1984

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.338930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.661250Z digest=sha256:736a18b20aa080d23a3c056c93e9cf38d584c7b987fb04b98fe405ea638c910b

Observation 4a5535e5-d866-4403-b598-b22b2988446c · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Efficient Estimation of Word Representations in Vector Space

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.664978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.664978Z digest=sha256:082f3fd09505c6eab97dffb7c07ba961ea6b7a4bb5b35e210e88824cdb0d4794

Observation f855f39f-8a47-47c9-adfc-816492751f76 · outbound

This paper cites an unresolved cited work.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:39:47.326902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.668849Z digest=sha256:a82ad2f01d8c4b93366073a74990375579333c1fe49daa95024c7f35c1ebea99

Observation d8fa51f9-a95b-42f5-9a8f-3eceb04d5d96 · outbound

This paper cites Oseledets, and Alexander Tuzhilin.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Oseledets, and Alexander Tuzhilin

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.676799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.676799Z digest=sha256:eb14027bb4ca9f444e2b42fb2b3b60f51c8c2d7f9cca73448fbefc487eadfed4

Observation e3e0e683-12e0-4fac-862e-c5e3928bc8b6 · outbound

This paper cites Poincaré embeddings for learning hierarchical represen- tations.Advances in Neural Information Processing Systems, 2017.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Poincaré embeddings for learning hierarchical represen- tations.Advances in Neural Information Processing Systems, 2017

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.314624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.680748Z digest=sha256:db38bc2eef178d5010e3e3a45f604ee33d617e847dc767f81857dcb2ef66b312

Observation 5d97eff6-fccf-4361-90ad-11d0303ed7fb · outbound

This paper cites Learning continuous hierarchies in the lorentz model of hyperbolic geometry.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Learning continuous hierarchies in the lorentz model of hyperbolic geometry

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.301376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.684647Z digest=sha256:56a28fdf8ffdaacd0062975bb863a43e642c1f0138c1bb079406a77bab13c783

Observation a4fb2b7f-3ebc-495e-9a70-75c101bba39f · outbound

This paper cites Petrov and Craig Macdonald.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Petrov and Craig Macdonald

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.288347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.688764Z digest=sha256:0b849dd16bc58b780b024e7961f4cad38f99c53150b5e4f3a55ca2fd2a3191f2

Observation 4d2e1dcf-e074-4195-8a42-bd9d3a0f9a73 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, (140), 2020.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Exploring the limits of transfer learning with a unified text-to-text transformer.Journal of machine learning research, (140), 2020

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.275777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.698147Z digest=sha256:e996de4cef81a35257c5592fd96e760f84865cbe7532e3feefb4d980cb983a89

Observation d2eeeaaf-f6e1-41c4-a73f-d6cb6ebcb78d · outbound

This paper cites Tran, Jonah Samost, Maciej Kula, Ed H.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Tran, Jonah Samost, Maciej Kula, Ed H

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.261904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.702102Z digest=sha256:3b056147b5e88e3c564938e17bbf1e92ceece1498297b92b961c1390496691ad

Observation 62b8dae3-a287-4a9d-a982-e3265ed8ac7c · outbound

This paper cites Rumelhart, Geoffrey E.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Rumelhart, Geoffrey E

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.248775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.706036Z digest=sha256:7a87095f96967725be5d5a90da35a3c1c96ee4286728d053359bc14b535f979a

Observation fc11d7f1-4e5c-448c-a1f7-ac3af1c05a85 · outbound

This paper cites Representation tradeoffs for hyperbolic embeddings.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Representation tradeoffs for hyperbolic embeddings

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.236260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.710346Z digest=sha256:4fd77f0bdaecdb7ee8c7524efd805ee7037bc7a01ea8d9777677124048691e5a

Observation 41251901-c2fe-44d9-99a0-e9c7ef41a353 · outbound

This paper cites Schmidhuber.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Schmidhuber

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.223026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.714082Z digest=sha256:43d20b9feb411585233445b04f140523a0ee57f8ddc36e5974ed41df08338cbf

Observation 373278f3-b44f-4bf1-becf-bb9fc63ee289 · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.Advances in Neural Information Processing Systems, 2020.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Mpnet: Masked and permuted pre-training for language understanding.Advances in Neural Information Processing Systems, 2020

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.209631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.717711Z digest=sha256:f8f57f3b3a04e93ccf5ebe6ee0456c085bad300d8d636f6eb1060e510fd9d481

Observation 205e2dc0-4972-4654-9e7d-5e7905c4c307 · outbound

This paper cites Hgcf: Hy- perbolic graph convolution networks for collaborative filtering.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hgcf: Hy- perbolic graph convolution networks for collaborative filtering

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.195135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.721891Z digest=sha256:ff2c570a6c586b65113a916ed7d465fca33bff5f145c33eda8756ea1e9103790

Observation b0d66473-1096-42b6-a6b2-5d0f086203a8 · outbound

This paper cites World Scientific, 2008.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies World Scientific, 2008

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.182334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.725609Z digest=sha256:986d1c05b249b8e0b0d7fad7e6d0456fae8dadcdc2ca2f15c42ec683586e80e9

Observation dcabbeb0-a682-40fe-bb02-bb20c20d973b · outbound

This paper cites Neural dis- crete representation learning.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Neural dis- crete representation learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.169577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.729314Z digest=sha256:65fced5014cff102707882ffd5b4366b76c8487ccf48dc8799be9003c27a7e00

Observation 48760ea5-edad-4d40-92fa-c51b08185f2f · outbound

This paper cites Neural discrete representation learning.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Neural discrete representation learning

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.156706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.733044Z digest=sha256:657890731517b8d76248bbeb23f05b8da6b1d9e6280f048f1b54fdebf1a45592

Observation be88f023-dc77-4328-aeeb-1ba4e289feb1 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.143812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.736866Z digest=sha256:516ca4b9202739801a3afa4fb24b32033cd43b02b3d3b92b356525669e05e3b6

Observation f1508414-103a-4cb0-8f34-b48516937828 · outbound

This paper cites Learning phylogenetic trees as hyperbolic point configurations.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Learning phylogenetic trees as hyperbolic point configurations

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:39:46.838441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.740698Z digest=sha256:6f0af52439531b8964cfaa38745e4a7752850f573d43edbea658833c117d5129

Observation 22029b9a-a504-4234-b03d-d9cb01ba5cb0 · outbound

This paper cites Hifi-codec: Group-residual vector quantization for high fidelity audio codec.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hifi-codec: Group-residual vector quantization for high fidelity audio codec

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.745084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.745084Z digest=sha256:ffd0d48434a9b87426ee6e8ddd17ab40a1740b300abeb4f5f38e33e3e967a44a

Observation 9523a18c-7e36-414a-8cd8-98db0b9e14f1 · outbound

This paper cites Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.749067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.749067Z digest=sha256:be37e174664c6a1843831e56e53032768f6f8c962e38bae444db4d6b9dc230d8

Observation 42e87599-2e23-4f6c-9282-943d922835e5 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Vector-quantized Image Modeling with Improved VQGAN

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.753489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.753489Z digest=sha256:db0886d8eab0f38b409e19e9dc87b3422d04249e51bd7f10282ef49f97aac03a

Observation a8b10c24-ef1b-4096-9b17-e788be4cb737 · outbound

This paper cites Soundstream: An end-to-end neural audio codec.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Soundstream: An end-to-end neural audio codec

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.123027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.757692Z digest=sha256:c80ecc77c072df4c2b23d84a031887c59b8fb93db37090b8ef5b3d144153c1f8

Observation 08591dd2-c261-405c-ba5b-96862f1cb10a · outbound

This paper cites S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.110059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T20:39:46.761599Z digest=sha256:49f148f1e7fb3bc7c071bb99c5ff7b959eaab921cef2782a5c373d406cdbb117

Observation 4ae91c38-5171-46e6-a176-78c6725e30e3 · outbound

This paper cites an unresolved cited work.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Unresolved cited work

Reference 1995

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.672864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.672864Z digest=sha256:6ed7fe868b2603907be0fe07ff94dcc31323967b218ef876b3206829d393e1b5

Observation b51f572d-3073-4174-bb59-b6b712ee26eb · outbound

This paper cites Generative Sequential Recommendation with GPTRec.

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies Generative Sequential Recommendation with GPTRec

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T20:39:46.692861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:39:46.692861Z digest=sha256:bced27bec695f2a13e7a4ed11cf765c3273a5163e821adfb47718ab0ce75f645

Pith citing papers

No inbound Pith citation observations are available.