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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 2026-08-16T06:30:59.297886+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
  • unresolved18
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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 2026-08-16T06:30:59.297886+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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verified fuzzy
raw_fallback, observed 2026-08-15T20:39:47.715286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.515963Z digest=sha256:3d9cd741b77c3304125bb30960f0b23bc54371c190939eec65532e2b56ffeada

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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unresolved
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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.525629Z digest=sha256:83da7a585494f5ec305eed398fea20ebf7c0222ce13bf10cbc12df5ce577537b

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
verified fuzzy
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 2026-08-16T06:30:59.297886+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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verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.534187Z digest=sha256:e74fe5e075c0a288f35b3f12b439436c4e13d390581718cb03c6b19d733bceea

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.538058Z digest=sha256:4d7e789615e5df22da1a95a8bb087149add6f299a8af6d220e563472045ed1b2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.550846Z digest=sha256:445f9671e47ac94d18178a2603dd23c9ca0731fffba0bf55f1bfa0a0ab09e75d

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
raw_fallback, observed 2026-08-15T20:39:47.618204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.554656Z digest=sha256:bb4116dd0ac3f9419d9bca59d6e281efa77db450778a3278f659c96c7147655c

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.559017Z digest=sha256:89b2d15369a10d0a5a16fc5911ad3ca65c58955395358c05d5a3cff5d1a31140

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

Resolution
verified fuzzy
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.562932Z digest=sha256:d5199bad55300e4037852a947844a48634fe877da2c95f62e106c542a825ecce

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.566881Z digest=sha256:defad14736c31a02f107be9e2e94bd2d1340aec9e980b6e6bffa00cce789077b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.575551Z digest=sha256:07331eb67ccdddc1237e0c8abf08d2b6caf5e3685dbe60fe7d29acf52ccd26f6

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.579598Z digest=sha256:96e6f8984ac87132175e44f6f32fe600c48957d0bb1f3b6bf91d8e2f1f5d4255

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.583796Z digest=sha256:a3d434c9a8a9eb6a66fb8d5c208bc8dc980ff30de9a5269a65a853a408a3072e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.592285Z digest=sha256:fc32890c2d79044ba4cf8fa5a42053353404319d4636428ec75af4810e828f70

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.596021Z digest=sha256:bff9315016c8ec2077a76fd7471befa2e5d9281f9ecb77af8d68728b5f03a35d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.599960Z digest=sha256:72f2235b0acd256ee0a2cb118e63b1cfb2f017b33080f20c0283c714a7c2428f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.604177Z digest=sha256:2670e5d8e22920df6030dad01732febad887136be1d303d84b3ab5870cda5893

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.613390Z digest=sha256:21d6d7fb5c36b3e492f5d03d7c8466b1d6d11e3fc5198ff6e07763f82f583a32

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

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.617272Z digest=sha256:a21d091cec609a30aa07a1bab7aec1c482d5566efb58f573459e638a1c14294b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.621290Z digest=sha256:4cf72607f97b35880499a1fbc27188d40e668f32c0e0d1cc1ddf71e6337df5c8

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

Resolution
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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.625538Z digest=sha256:5062ce9ab5f9a5ff9b7442965fb5f6117cb5d1cd713835074f4b39e4150f65d1

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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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=sha256:39e4c16338385790ccc501927841ac3ddb000e19b6e7bb870b4bd00c1d755393

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.633709Z digest=sha256:0d86c7fae93e55280fcc09841640908c5c77f61c4c0e4bf04cbf871d3ab50fc8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.641766Z digest=sha256:387f7f9da7809726091a0a831fd0405687cd1d70deef83213638aaf8c87e009f

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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unresolved
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=sha256:259277f038ef07a17cdd3f59593962986752d594e924cdd41c90cc02b81329db

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.653575Z digest=sha256:05951f55ef087e56e2884da331c58417745dd1d5341a7bc9ea1b8c4f6cdba59f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.657492Z digest=sha256:0bd283c3f7a7b847eda78aeb13899ffbfecbfefcde437a16c3fefbe144d91a29

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.661250Z digest=sha256:f723afc499906630d1330cece8c335290cd840e14668f2f812343ab85469578c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.668849Z digest=sha256:d25da35df6c79fb2da0c20105ca41a3333a2c4004487ff7ca4eacf61ab2a70fd

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.680748Z digest=sha256:22ba531a63ae9ce0f1259b76a5aaeaca8c2e8d969b8b1edf03b5f65aaee79760

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.684647Z digest=sha256:0fc4288581eccba95e8f27c690670bef5acb27a5da728c5eb25aed29081fd14b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.688764Z digest=sha256:fa777bb510da1da026477a7fde457d7fa54c9fbc46ae93ecbb74dc9fe60f8c21

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.698147Z digest=sha256:808c8bfc72eb7ebc55acde277019355028519a883b7785ae6501a60d8cddd668

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.702102Z digest=sha256:3c1d23ee733ce33d4ef9a09b6a33cb00ce251020d659b8ee16a6a3f0d1497978

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.706036Z digest=sha256:ef663f15595e660fc21259fbcc24352c3c61f8a8ce96eb101ea72cd5aeb60b3f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.710346Z digest=sha256:e85e5a2102f6a13d70aba3d33c1226300c5ddd897fb595cc2e3bc289e230d881

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.714082Z digest=sha256:1b7262ddbcabeae59a4a905a29819ff355156a4c35ed5e06c502fbe65fb5ee07

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.717711Z digest=sha256:8dd6a41edaa9a30745c4a1c61a6f55890d7bb28f38567fc8b07497f689355796

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.721891Z digest=sha256:432127b12052f96cc535061eed6e02a7699a60eba5bb1e2ce63dbe8ffda23e00

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.725609Z digest=sha256:e5e73a9c8f33e4ed424b303176e259a1f11b2a18f3b3e6f60ab83d37c6ad419d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.729314Z digest=sha256:ff7a0212006dc0628e274165f2c72a6f46990bbeaad05bca987ad4dd9c7c2eca

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.733044Z digest=sha256:8fc4a26964e41528fb9b88573d143db9389d74033531219d4820b6c5cd2645e3

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.736866Z digest=sha256:f5f7ebd9a80e4232e09efccca02a65aae36d758fdea4c7eb427f15b619c072ba

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.740698Z digest=sha256:c75f19ebf735bee1558951de11a9fca9add0f033d63e50168c286b92904f3e34

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.757692Z digest=sha256:2dc9865495800ca9293cd679e442f965e872d5d06876b8a124c400512a2c799a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T20:39:46.761599Z digest=sha256:a49b438833011e21af04306e5d21cbe4dbf5e2c1bea3dc5ad0329c048ae549e6

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.