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Paper Citation Record · LEDGER

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning

As of 7 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2507.17368.

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

pith.paper-citation-record.v1
2507.17368 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:59:47.858470Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

33 of 33 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 497c0290-dfdc-470b-a26a-fc3f9ffad8ce · outbound

This paper cites write newline.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:59:47.726114Z digest=sha256:b9c936d6aa9063c33e3dc0e4c294622bcc869a9e6dd4640cdedbc78a10a5e7cb

Observation a569f58c-f0b3-4201-a91b-340d62f07fa5 · outbound

This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning wav2vec 2.0: A framework for self-supervised learning of speech representations

Reference 2

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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 2026-08-06T06:34:29.942622+00:00.

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Observation 9d50bb9e-641b-423f-94f4-938a94ef0cf7 · outbound

This paper cites Audiomnist: Exploring explainable artificial intelligence for audio analysis on a simple benchmark.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Audiomnist: Exploring explainable artificial intelligence for audio analysis on a simple benchmark

Reference 3

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Observation 2418ac18-6fc2-4fe4-a0a0-32f90a35166c · outbound

This paper cites Learning imbalanced datasets with label-distribution-aware margin loss.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Learning imbalanced datasets with label-distribution-aware margin loss

Reference 4

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-06T14:59:47.740486Z digest=sha256:f0c6b91f00d3cd4f82d8045ad9508a6480826c5b5f8fc118718bad6ee4dfb46e

Observation 86b91329-d999-4e44-ba01-7b512a5458d4 · outbound

This paper cites Class-balanced loss based on effective number of samples.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Class-balanced loss based on effective number of samples

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:59:47.744593Z digest=sha256:a67382058a633060c66ef23ab570c0f0c83ebdef3ae317d4eb4b3936880172f6

Observation 17174d0e-cf78-4a93-9ec7-a0045c27833f · outbound

This paper cites Podnet: Pooled outputs distillation for small-tasks incremental learning.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Podnet: Pooled outputs distillation for small-tasks incremental learning

Reference 6

Resolution
verified exact
doi, observed 2026-08-06T14:59:47.892854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-06T14:59:47.748497Z digest=sha256:c0f02b4e175791281fddfd97aeb2415609284f0a9624b130e447baa0207c51e5

Observation fdeff123-2691-420d-a9c0-1e88d2e4c713 · outbound

This paper cites A unified continual learning framework with general parameter-efficient tuning.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning A unified continual learning framework with general parameter-efficient tuning

Reference 7

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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 2026-08-06T06:34:29.942622+00:00.

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Observation e261f3db-300e-4fd3-b1e8-605288ae1adc · outbound

This paper cites o., and van de Weijer, J.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning o., and van de Weijer, J

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation dd211206-bb29-45ff-8d26-7062fa266c55 · outbound

This paper cites and Zhu, F.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning and Zhu, F

Reference 9

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 0f06747c-d014-402d-a0ee-50d367ed929c · outbound

This paper cites D., Blei, D.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning D., Blei, D

Reference 10

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Observation 21c97ce3-6997-4a1c-b2ef-c05bb176a552 · outbound

This paper cites H., Lakhotia, K., Salakhutdinov, R., and Mohamed, A.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning H., Lakhotia, K., Salakhutdinov, R., and Mohamed, A

Reference 11

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Observation f94dcc57-5762-4444-a5e8-5f3e36071374 · outbound

This paper cites Auto-Encoding Variational Bayes.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Auto-Encoding Variational Bayes

Reference 12

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Observation cda60899-43fb-46e7-a756-111eceab502f · outbound

This paper cites C., Veness, J., Desjardins, G., Rusu, A.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning C., Veness, J., Desjardins, G., Rusu, A

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ce1f9870-9e1f-421d-a9f7-0cadcb52dafd · outbound

This paper cites Learning multiple layers of features from tiny images.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Learning multiple layers of features from tiny images

Reference 14

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Observation 5cdca38f-a1d2-4cbf-9f88-2104bd99b9fd · outbound

This paper cites and Yang, X.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning and Yang, X

Reference 15

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Observation f3d87ec4-eba1-471a-8574-bf9624596eab · outbound

This paper cites Modeling inter-class and intra-class constraints in novel class discovery.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Modeling inter-class and intra-class constraints in novel class discovery

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 77851fb1-6657-42f2-b550-1c3db37c36d2 · outbound

This paper cites and Hoiem, D.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning and Hoiem, D

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 31b581fd-f7e5-4877-9705-e9f2dcdae3ee · outbound

This paper cites Deep representation learning on long-tailed data: A learnable embedding augmentation perspective.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Deep representation learning on long-tailed data: A learnable embedding augmentation perspective

Reference 18

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3dc25c3a-7805-4388-8c03-b0fbe5ef4bbf · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning DINOv2: Learning Robust Visual Features without Supervision

Reference 19

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Observation 25151507-453b-4ebd-8e77-64b61d232367 · outbound

This paper cites an unresolved cited work.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Unresolved cited work

Reference 20

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Observation eae52313-078c-4866-9c8a-d462da8fe2ab · outbound

This paper cites an unresolved cited work.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Unresolved cited work

Reference 21

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b864252b-856d-49ee-ae87-d9afe2eb4d73 · outbound

This paper cites an unresolved cited work.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2878fff0-227a-4c49-9989-a31b2bc2e484 · outbound

This paper cites Diffu LT : Diffusion for long-tail recognition without external knowledge.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Diffu LT : Diffusion for long-tail recognition without external knowledge

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3cd59b0f-56de-4574-84db-0cb21679bc63 · outbound

This paper cites Long-tail learning with foundation model: heavy fine-tuning hurts.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Long-tail learning with foundation model: heavy fine-tuning hurts

Reference 24

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verified fuzzy
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Source-reported events for the cited work

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Observation 0cc9513c-1934-49a4-b731-50c693e9ea5f · outbound

This paper cites Prototypical networks for few-shot learning.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Prototypical networks for few-shot learning

Reference 25

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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 2026-08-06T06:34:29.942622+00:00.

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Observation 4d8887dc-e661-4ff1-9249-7b77c582f56b · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Deep unsupervised learning using nonequilibrium thermodynamics

Reference 26

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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 2026-08-06T06:34:29.942622+00:00.

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Observation 36e8154d-5989-4066-a011-7fa6c23e3d6b · outbound

This paper cites A comprehensive survey of continual learning: Theory, method and application.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning A comprehensive survey of continual learning: Theory, method and application

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f0dcc71-efd1-495c-b16e-28aeb00ad69b · outbound

This paper cites Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Reference 29

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no resolver link, observed 2026-08-06T14:59:47.838706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 01b57579-0f9f-4488-bf7e-b8d43874ef5c · outbound

This paper cites Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Large-scale contrastive language-audio pretraining with feature fusion and keyword-to-caption augmentation

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T14:59:48.540799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 8ca25521-8080-43fb-bb30-8e57a90e2b5e · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Lifelong Learning with Dynamically Expandable Networks

Reference 31

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no resolver link, observed 2026-08-06T14:59:47.847138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:59:47.847138Z digest=sha256:de1b6f5c48ce926929ae8cf517f5fd5f8cf4e9a74ab88b4f94288b08e278dfaf

Observation 17e7e20f-bfc7-453f-81b6-cdf3b24af4c7 · outbound

This paper cites Slca: Slow learner with classifier alignment for continual learning on a pre-trained model.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Slca: Slow learner with classifier alignment for continual learning on a pre-trained model

Reference 32

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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 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-06T14:59:47.851272Z digest=sha256:6e35cc747dd1bcbd70325138d65e6c8639f83ba4b7f1d959061b1b29f26ca3a9

Observation b1b5ed29-cba3-4a23-a121-b524c23bb278 · outbound

This paper cites Continual learning with pre-trained models: A survey.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Continual learning with pre-trained models: A survey

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T14:59:48.517692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-08-06T14:59:47.855014Z digest=sha256:3183efb4da71cf37537db51051f2a30ca0f8f5ed244c84140d65493a12325c1f

Observation eca5dabd-be53-493e-bad5-a9c02a13353c · outbound

This paper cites Self-sustaining representation expansion for non-exemplar class-incremental learning.

ViRN: Variational Inference and Distribution Trilateration for Long-Tailed Continual Representation Learning Self-sustaining representation expansion for non-exemplar class-incremental learning

Reference 34

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.