Paper Citation Record · LEDGER

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models

As of 15 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.02909.

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

pith.paper-citation-record.v1
2607.02909 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

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

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15eaa4b3-e855-4afb-a684-d7132d0f7111 · outbound

This paper cites Qwen2.5-VL Technical Report.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Qwen2.5-VL Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d946ba3c-9885-4c01-93a2-583e45e3dfed · outbound

This paper cites L., Roohi, S., Granroth-Wilding, M., and Cucchiara, R.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models L., Roohi, S., Granroth-Wilding, M., and Cucchiara, R

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 58a4b665-cd47-43b0-a594-62e065d60301 · outbound

This paper cites SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 1304a377-bcec-4322-a0c5-09b9e2af6e08 · outbound

This paper cites On large multimodal models as open-world image classifiers.arXiv preprint arXiv:2503.21851,.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models On large multimodal models as open-world image classifiers.arXiv preprint arXiv:2503.21851,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 9d14c701-6a10-48e0-9795-8d2f2c061558 · outbound

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

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Hyperbolic geometric graph representation learning for hierarchy-imbalance node classification

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 024b2bff-2db0-44de-a964-6b451cab8f28 · outbound

This paper cites African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 894719a4-b95c-40be-8a56-b1c218b4ae65 · outbound

This paper cites HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f20cbdea-c7fb-47ff-ab85-b55ed29a3387 · outbound

This paper cites Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 83039bf7-4a10-4dcf-bcd1-69d337cb5469 · outbound

This paper cites an unresolved cited work.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

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Observation 895b62b0-f79c-437a-aa09-27c681ce57ce · outbound

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

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 61dab304-2bac-4ad2-b912-37e59559a1d6 · outbound

This paper cites F., Zhao, Z., Feng, X., and Sun, M.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models F., Zhao, Z., Feng, X., and Sun, M

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation b650d89f-bc9e-4eeb-8b00-0a3e374ca1d4 · outbound

This paper cites Compositional Entailment Learning for Hyperbolic Vision-Language Models.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Compositional Entailment Learning for Hyperbolic Vision-Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 1e94ef97-9f43-44d6-9a91-830ae135c94c · outbound

This paper cites Y ., Beery, S., and Huang, J.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Y ., Beery, S., and Huang, J

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 83c480a7-b7cf-40a0-ae42-8517ef1be0d0 · outbound

This paper cites Hyperbolic Neural Networks++.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Hyperbolic Neural Networks++

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation d99979d9-fa58-4528-96c9-908bff5de1ae · outbound

This paper cites Taxonomy-Aware Evaluation of Vision-Language Models.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Taxonomy-Aware Evaluation of Vision-Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 9615fbb6-0915-4ee4-bc10-286edeb32129 · outbound

This paper cites The llm bottleneck: Why open-source vision llms struggle with hierarchical visual recognition.arXiv preprint arXiv:2505.24840,.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models The llm bottleneck: Why open-source vision llms struggle with hierarchical visual recognition.arXiv preprint arXiv:2505.24840,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 03534dc7-425c-4892-aa88-7e1e9988565f · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models The caltech-ucsd birds-200-2011 dataset

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3df126a-c750-491f-9a4e-befdb0584e3c · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c39b660a-3ef8-4cd9-a912-d83f3bc6112a · outbound

This paper cites Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Incorporating Hierarchy into Text Encoder: a Contrastive Learning Approach for Hierarchical Text Classification

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Unavailable: canonical work link unavailable.

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

This paper cites Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds.

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

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd1a1a41-38c9-412b-a69b-c572693e617e · outbound

This paper cites On the general- ization of sft: A reinforcement learning perspective with reward rectification.arXiv preprint arXiv:2508.05629,.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models On the general- ization of sft: A reinforcement learning perspective with reward rectification.arXiv preprint arXiv:2508.05629,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation 51e350e9-49b2-4800-99a5-e8787c93aa51 · outbound

This paper cites HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb15ac7a-23f0-4252-8359-d5c4b61b0678 · outbound

This paper cites Visual representation alignment for multimodal large language models.arXiv preprint arXiv:2509.07979,.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Visual representation alignment for multimodal large language models.arXiv preprint arXiv:2509.07979,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Unavailable: canonical work link unavailable.

Observation 9289ae94-245c-4a6f-973e-0d73c92dee69 · outbound

This paper cites Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14cffd00-e41d-418f-81fc-70dc0120ff74 · outbound

This paper cites Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Learning Structured Representations by Embedding Class Hierarchy with Fast Optimal Transport

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Observation e33f9d4c-9ec1-4ed7-9c9d-91d69dc84f47 · outbound

This paper cites Theoretical Analysis of Dispersive Loss In this section, we provide a rigorous theoretical analysis of different variants of the dispersive loss under hyperbolic geometry.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Theoretical Analysis of Dispersive Loss In this section, we provide a rigorous theoretical analysis of different variants of the dispersive loss under hyperbolic geometry

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Unavailable: canonical work link unavailable.

Observation f5d9d17e-9695-4aeb-9b94-b0eedb3071b1 · outbound

This paper cites an unresolved cited work.

Learning Taxonomic Trees with Hierarchical Representation Regularization for Large Multimodal Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T06:12:39.481162Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.