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Paper Citation Record · LEDGER

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds

As of 14 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 1 inbound Pith citation observation for arXiv:2510.27391.

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

pith.paper-citation-record.v1
2510.27391 v2

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:22:09.962835Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T06:12:39.481162Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

64 of 64 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de99e64f-fe29-4a96-9b5a-b83fe6bfd390 · outbound

This paper cites Hyperbolic geometry.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic geometry

Reference 1

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source=arxiv_source observed=2026-08-04T07:22:01.476726Z digest=sha256:3cd3ca124e67395ce59e00dd04747ef3f410e3604ce94f999bf0f8a9f2d8e536

Observation af3a6e1e-d4d2-4ea3-aae7-09c16537589c · outbound

This paper cites Invite: Interpret and control vision-language models with text explanations.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Invite: Interpret and control vision-language models with text explanations

Reference 2

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source=arxiv_source observed=2026-08-04T07:22:01.604759Z digest=sha256:0f28b03f1331c38e4ecdecb83cd2df25b5a11874a269265f1b834a658a5140f5

Observation 03d68552-b161-4710-b6cf-42dfabe17a82 · outbound

This paper cites Hyperbolic vae via latent gaussian distributions.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic vae via latent gaussian distributions

Reference 3

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source=arxiv_source observed=2026-08-04T07:22:01.687701Z digest=sha256:48b9a7fa1d2a9eea91cd66aca779fa91a56da45c7a92e54cc5b1e3792513c97d

Observation 9a4084d5-fa76-4215-b806-3c2d0b6e6a65 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Imagenet: A large-scale hierarchical image database

Reference 4

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source=arxiv_source observed=2026-08-04T07:22:01.864702Z digest=sha256:dbd42105b291ea9a734d485942a3cd8ab2f71eb0a715858fb863248d4c94630f

Observation 4abe6f81-a87e-479a-bdbf-78cad6752487 · outbound

This paper cites Hyperbolic image-text representations.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic image-text representations

Reference 5

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source=arxiv_source observed=2026-08-04T07:22:02.075603Z digest=sha256:efbf3b8753795940f6799c26c0b8f9f03a85c741b4a113011c66df979a4af362

Observation 53af07e1-3636-4e06-9e88-b30d9b4e9df6 · outbound

This paper cites Enhanced word clustering for hierarchical text classification.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Enhanced word clustering for hierarchical text classification

Reference 6

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source=arxiv_source observed=2026-08-04T07:22:02.214773Z digest=sha256:1acc6617dff566e702c452e049cf7d00d814e43318403a88c240b1fb1f1ce50f

Observation 8fc6d10b-58e3-4ee5-802a-2e836f891f89 · outbound

This paper cites Beyond the seen: Bounded distribution estimation for open-vocabulary learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Beyond the seen: Bounded distribution estimation for open-vocabulary learning

Reference 7

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Observation d6f75d6e-07f2-4fe5-a398-c0b8be6bee84 · outbound

This paper cites Curvature learning for generalization of hyperbolic neural networks: X.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Curvature learning for generalization of hyperbolic neural networks: X

Reference 8

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source=arxiv_source observed=2026-08-04T07:22:02.504744Z digest=sha256:da58c6f58e979d6041612629b18f95c5cf5e076e0d1d745d73012262935e9524

Observation bbdbb715-85d3-4251-8f62-adbc32293086 · outbound

This paper cites an unresolved cited work.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-04T07:22:02.674741Z digest=sha256:04b8e9308c63178a743f650e0698098714f7f7d5d9bf7cb04d0ef1e2e07459ed

Observation 3b1bf54b-473c-4f25-934e-c303706aa763 · outbound

This paper cites Hyperbolic active learning for semantic segmentation under domain shift.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic active learning for semantic segmentation under domain shift

Reference 10

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source=arxiv_source observed=2026-08-04T07:22:02.811979Z digest=sha256:1e54be739ae1ea6fac041aebfa6123f248f0b9aeb121b39d7aa15fc3f6991e6e

Observation 09180492-2600-4565-a9c0-ece1e7c33e9b · outbound

This paper cites Hyperbolic geometric graph representation learning for hierarchy-imbalance node classification.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic geometric graph representation learning for hierarchy-imbalance node classification

Reference 11

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source=arxiv_source observed=2026-08-04T07:22:02.914858Z digest=sha256:bf57fc1d870889b625aa2670ac77b53a4db0cd5412820219e05ff1d262be50ad

Observation acdaefd8-10ce-4add-85be-3ad93e1c9986 · outbound

This paper cites Hyperbolic geometric latent diffusion model for graph generation.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic geometric latent diffusion model for graph generation

Reference 12

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source=arxiv_source observed=2026-08-04T07:22:03.032201Z digest=sha256:19d78b4f70781556fececc05b5355d8b90bc25cb03f39766011ea1b6401ebc9a

Observation 35ab22f0-fbd7-4e24-a5a1-52fcbff6897d · outbound

This paper cites Datacomp: In search of the next generation of multimodal datasets.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Datacomp: In search of the next generation of multimodal datasets

Reference 13

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source=arxiv_source observed=2026-08-04T07:22:03.124770Z digest=sha256:23da90b6eba1d48d319d762142897894cb6268d3049d9f368c0b9ae26dc1c3cd

Observation ed7b71b0-636b-4d76-84a7-15f2b655a069 · outbound

This paper cites Curvature generation in curved spaces for few-shot learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Curvature generation in curved spaces for few-shot learning

Reference 14

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source=arxiv_source observed=2026-08-04T07:22:03.270207Z digest=sha256:ece97fdfa97bc03f903406c9ab65d3a754d0f8dfd0dc4f5c451130d40e1ec27c

Observation 0686e2d0-82d9-40e5-8565-371d3b65624d · outbound

This paper cites Curvature-adaptive meta-learning for fast adaptation to manifold data.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Curvature-adaptive meta-learning for fast adaptation to manifold data

Reference 15

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source=arxiv_source observed=2026-08-04T07:22:03.467204Z digest=sha256:ccbd734d4cb3da474a66a480997874ff33195c0ed2f4991e3e85a20f54bc4a0c

Observation c385543f-efae-4236-abfb-5a0014ebd682 · outbound

This paper cites Hyperbolic feature augmentation via distribution estimation and infinite sampling on manifolds.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic feature augmentation via distribution estimation and infinite sampling on manifolds

Reference 16

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source=arxiv_source observed=2026-08-04T07:22:03.586904Z digest=sha256:35c9911b3bcb5587092afae28ebb3926f1ac308404a7fb69bd3be631376c8242

Observation def347b1-92ef-469e-a542-9b61e5c19bf1 · outbound

This paper cites Exploring data geometry for continual learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Exploring data geometry for continual learning

Reference 17

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Observation dbdf9168-c7a5-47e5-81e3-ca9122ddf634 · outbound

This paper cites A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Reference 18

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source=arxiv_source observed=2026-08-04T07:22:03.719205Z digest=sha256:ef71dc12aa47588b3d3eeb43b5968f69ab82bc921e4735c64024db5b3be02a6c

Observation 4e5916c0-c31b-4326-bae2-2274e78fe24b · outbound

This paper cites Clipped hyperbolic classifiers are super-hyperbolic classifiers.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Clipped hyperbolic classifiers are super-hyperbolic classifiers

Reference 19

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source=arxiv_source observed=2026-08-04T07:22:03.792985Z digest=sha256:b0aca8f4f8cfde92ce16158afaed19a775a6ef92c3f852271d0132c772386174

Observation bdd655ac-b33d-4196-a450-9631c9d09f34 · outbound

This paper cites Helm: Hyperbolic large language models via mixture-of-curvature experts.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Helm: Hyperbolic large language models via mixture-of-curvature experts

Reference 20

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Observation 0d7f5664-3b8d-41c6-86a5-455390495222 · outbound

This paper cites Lorentzian residual neural networks.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Lorentzian residual neural networks

Reference 21

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source=arxiv_source observed=2026-08-04T07:22:04.129947Z digest=sha256:4a3097458abff9ae9efc9512f417846ea9e89a903692ba27b946d1301b2c87be

Observation 64a57db2-a899-476d-b0e4-ac16c5b47027 · outbound

This paper cites Curved geometric networks for visual anomaly recognition.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Curved geometric networks for visual anomaly recognition

Reference 22

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source=arxiv_source observed=2026-08-04T07:22:04.291113Z digest=sha256:6e875818f2c139471e7f0fd68e61fd11a137d3515b9ad3403c13eb01a3f751b8

Observation ab69516e-56dc-41f0-bf2d-cc7e13919a01 · outbound

This paper cites Hyperbolic audio-visual zero-shot learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic audio-visual zero-shot learning

Reference 23

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Observation 605749e5-2be7-42e0-8a05-26dd7347faaa · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Scaling up visual and vision-language representation learning with noisy text supervision

Reference 24

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source=arxiv_source observed=2026-08-04T07:22:04.575789Z digest=sha256:1092b06d6f5604cd131acbf5bfadadf3655d97118ca9db93c3b0e6751da3e39f

Observation 46cf5416-171b-4ca2-a031-53afc295a5f5 · outbound

This paper cites Visual prompt tuning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Visual prompt tuning

Reference 25

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source=arxiv_source observed=2026-08-04T07:22:04.694468Z digest=sha256:fb051c0369850e2903509652770508cf2cb17d47aad0c2e1bcbee3617796f8ca

Observation 6f139abb-b156-48ee-980c-da50f91cbe02 · outbound

This paper cites Maple: Multi-modal prompt learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Maple: Multi-modal prompt learning

Reference 26

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Observation 1ce77ae1-ccec-4f4f-9ca8-04f0cb68ad26 · outbound

This paper cites Self-regulating prompts: Foundational model adaptation without forgetting.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Self-regulating prompts: Foundational model adaptation without forgetting

Reference 27

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source=arxiv_source observed=2026-08-04T07:22:05.130457Z digest=sha256:704dd8288433cc489f4ee73738c74a0f5d2abde346472ae1fd6034e56095f904

Observation 1f0e7844-9238-490c-981f-3537f32aa7db · outbound

This paper cites Sequential minimax search for a maximum.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Sequential minimax search for a maximum

Reference 28

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source=arxiv_source observed=2026-08-04T07:22:05.270645Z digest=sha256:6850f78c5d40d51b236cfbbe9e14567b19eb0715e52a9d3b2b5b4bba5e1f3ced

Observation 3460fbc1-1a43-48db-a7f0-bf7358e75b96 · outbound

This paper cites Cifar-10 and cifar-100 datasets.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Cifar-10 and cifar-100 datasets

Reference 29

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source=arxiv_source observed=2026-08-04T07:22:05.464833Z digest=sha256:87e7a4b9bbe1269fab1bad763c7eac418166cf277cc1425edf81ef3f3f1c1bc0

Observation ef800f4a-0052-4c53-bc18-29872656d438 · outbound

This paper cites Riemannian manifolds: an introduction to curvature, volume 176.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Riemannian manifolds: an introduction to curvature, volume 176

Reference 30

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source=arxiv_source observed=2026-08-04T07:22:05.588740Z digest=sha256:7c8c17b6ae01dd6720c50445e93ad3465046d6d19080055c4d3d8582942fb328

Observation 6b613c3e-08ec-4be8-868a-a5b6809821c5 · outbound

This paper cites Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces

Reference 31

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source=arxiv_source observed=2026-08-04T07:22:05.755902Z digest=sha256:fb1fcab78c61bed2a7c09f19a4c07d74879976ae849dec0592d02cea20832f5e

Observation 310a74da-5402-4950-8ef8-8b7b240cc5bd · outbound

This paper cites Hyperbolic-constraint point cloud reconstruction from single rgb-d images.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic-constraint point cloud reconstruction from single rgb-d images

Reference 32

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source=arxiv_source observed=2026-08-04T07:22:05.924555Z digest=sha256:b8dcc175037de05deb302cb19b8d6ddf28eecec63de31539acb98c3fd5be4565

Observation 5e1aafc4-e935-48b3-923b-619df2ddf136 · outbound

This paper cites Scaling language-image pre-training via masking.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Scaling language-image pre-training via masking

Reference 33

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source=arxiv_source observed=2026-08-04T07:22:06.110523Z digest=sha256:b4e69c46392f0e3aac4c262ad5aa095884a90613d67310419f9b6d0f6e3d385a

Observation 38a871a5-0e5b-4609-8be0-6ab771540a53 · outbound

This paper cites Promptkd: Unsupervised prompt distillation for vision-language models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Promptkd: Unsupervised prompt distillation for vision-language models

Reference 34

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source=arxiv_source observed=2026-08-04T07:22:06.254747Z digest=sha256:ae4ecc4dfc79a1b64e8b1d488e1d5192118caaa5d77f56aaca10cb89f92f1d27

Observation 08a3702f-1fc7-4fb6-85d4-e87defb0acbf · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning

Reference 35

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source=arxiv_source observed=2026-08-04T07:22:06.384751Z digest=sha256:b345449999b3531492ec083ac481fef07fac81b01d43fd3ca06fdbd14c5f0043

Observation 38fb3aca-4cbe-43f9-83b8-3c05299ec7c6 · outbound

This paper cites Searching for actions on the hyperbole.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Searching for actions on the hyperbole

Reference 36

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source=arxiv_source observed=2026-08-04T07:22:06.564755Z digest=sha256:6c203bf69d5af58edce9672c192377a724dd1d3c9e81c9e9af8afaa2ad7f62fe

Observation aeb8d6e2-eaba-444c-b2ef-72568b9e4bde · outbound

This paper cites Optimizing millions of hyperparameters by implicit differentiation.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Optimizing millions of hyperparameters by implicit differentiation

Reference 37

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source=arxiv_source observed=2026-08-04T07:22:06.701322Z digest=sha256:381dfd2ac18ca2236aeae4e6063b410e193b90adc3526c8805cddba24627abee

Observation 9b21c462-342b-45fe-8593-ce2863450c93 · outbound

This paper cites Hyperdefender: A robust framework for hyperbolic gnns.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperdefender: A robust framework for hyperbolic gnns

Reference 38

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source=arxiv_source observed=2026-08-04T07:22:06.890332Z digest=sha256:cd4d1aef6053ef171cf48669e0891f063fe2f8c33790a302136a5df77b66e376

Observation b58580e2-c84c-45f1-8b38-4f3a120d14e8 · outbound

This paper cites Hyperbolic learning with multimodal large language models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic learning with multimodal large language models

Reference 39

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Observation aa13ed0d-26ae-4aed-8fa5-83111143a24e · outbound

This paper cites A wrapped normal distribution on hyperbolic space for gradient-based learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds A wrapped normal distribution on hyperbolic space for gradient-based learning

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Observation c7d14611-763f-4d64-9eac-19f40fec7ea3 · outbound

This paper cites Poincar\' e embeddings for learning hierarchical representations.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Poincar\' e embeddings for learning hierarchical representations

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Observation 4d90bf40-5301-4a83-bf7b-96b1450b6ac3 · outbound

This paper cites Compositional entailment learning for hyperbolic vision-language models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Compositional entailment learning for hyperbolic vision-language models

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Observation 2cda6dc6-3f8a-46a9-b03a-b8f016be6407 · outbound

This paper cites Prompt learning via meta-regularization.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Prompt learning via meta-regularization

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Observation 9f4d68a2-0d1d-47b8-89cd-4ea52813fb1d · outbound

This paper cites Learning transferable visual models from natural language supervision.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Learning transferable visual models from natural language supervision

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Observation 30b92624-fa2b-41ab-ae30-c73de4a983d9 · outbound

This paper cites Accept the modality gap: An exploration in the hyperbolic space.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Accept the modality gap: An exploration in the hyperbolic space

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Observation efb02861-2cbf-426a-9966-bdd038e78167 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Laion-5b: An open large-scale dataset for training next generation image-text models

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Observation 15f905ae-f7cb-4cef-9eb2-ae1dfbd21fe9 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Grad-cam: Visual explanations from deep networks via gradient-based localization

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Observation bcf70e73-be52-48f4-95e9-eae81ff2ce44 · outbound

This paper cites Hyperbolic neural networks++.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic neural networks++

Reference 48

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Observation c791e3f1-3377-44b6-959a-d2ea5e968fc9 · outbound

This paper cites Mixed-curvature variational autoencoders.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Mixed-curvature variational autoencoders

Reference 49

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Observation 0bf08b05-396d-4163-bbe3-096db39f9304 · outbound

This paper cites Bioclip: A vision foundation model for the tree of life.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Bioclip: A vision foundation model for the tree of life

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Observation ae9baa82-be3a-43dd-8b0c-984158138234 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds EVA-CLIP: Improved Training Techniques for CLIP at Scale

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Observation 0027bb6d-092e-466c-940d-ddcdda141f9d · outbound

This paper cites Cliploss and norm-based data selection methods for multimodal contrastive learning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Cliploss and norm-based data selection methods for multimodal contrastive learning

Reference 52

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Observation ae793e0f-2320-4b8b-bb80-1ef7fe8b74d1 · outbound

This paper cites G 3-lq: Marrying hyperbolic alignment with explicit semantic-geometric modeling for 3d visual grounding.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds G 3-lq: Marrying hyperbolic alignment with explicit semantic-geometric modeling for 3d visual grounding

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Observation d3acdbb2-20f8-4cc1-a9a9-103f2ef0b725 · outbound

This paper cites Protect: Prompt tuning for taxonomic open set classification.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Protect: Prompt tuning for taxonomic open set classification

Reference 54

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Observation 5efebe0a-5523-4d3b-b330-df9a37060455 · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Sun database: Large-scale scene recognition from abbey to zoo

Reference 55

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Observation 3be99dfe-03ea-489f-9bae-c0a5a6abf9da · outbound

This paper cites Hyperbolic Dual Feature Augmentation for Open-Environment.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Hyperbolic Dual Feature Augmentation for Open-Environment

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Observation e5855d22-959d-4288-92b3-4ec1f70555f5 · outbound

This paper cites Decouple before align: Visual disentanglement enhances prompt tuning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Decouple before align: Visual disentanglement enhances prompt tuning

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Observation fe9ca704-e777-48e4-8b6d-c0e42c0ead28 · outbound

This paper cites Conditional prompt learning for vision-language models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Conditional prompt learning for vision-language models

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Observation 72007bb2-84e0-46f6-8b0a-e3140dad444b · outbound

This paper cites Learning to prompt for vision-language models.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Learning to prompt for vision-language models

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Observation 77417b60-6edc-4e7f-a985-0f0518130dca · outbound

This paper cites Prompt-aligned gradient for prompt tuning.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds Prompt-aligned gradient for prompt tuning

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Observation 25a1edc4-10db-4588-8831-5ca44b4cbd39 · outbound

This paper cites write newline.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds write newline

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Observation e6355e99-1981-4201-804b-c231bcb3370c · outbound

This paper cites @esa (Ref.

Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds @esa (Ref

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Reference 63

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Observation 67877cfa-e141-4378-8775-92709a0a484b · outbound

This paper cites an unresolved cited work.

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Pith citing papers

Observation 91405353-5735-4418-8222-bff744beb35c · inbound

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models cites this paper.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds

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