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Paper Citation Record · LEDGER

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning

As of 15 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2501.05495.

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

pith.paper-citation-record.v1
2501.05495 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:16:35.573536Z

measured 31 of 31 standing notices

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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.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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  • verified fuzzy16
  • unresolved13
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External citation measurements

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Outbound references

Observation 3b3ece3b-1a80-4e44-8e0c-fb2d24fff0a1 · outbound

This paper cites Continual lifelong learning with neural networks: A review,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Continual lifelong learning with neural networks: A review,

Reference 1

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Observation 2bf1c6a3-e52f-4d1d-b55f-24711a049321 · outbound

This paper cites Learning latent space energy-based prior model,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Learning latent space energy-based prior model,

Reference 2

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Observation b7ba10e5-fd59-404d-b5f6-0c7814c02e2e · outbound

This paper cites Energy-based models for continual learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Energy-based models for continual learning,

Reference 3

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Observation 8a0841d2-f9a5-4ef2-a58e-52bcdb03a329 · outbound

This paper cites Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue

Reference 4

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Observation bbae7526-965e-4e6c-81cc-d60d4d77742c · outbound

This paper cites Prompt augmented generative replay via supervised contrastive learning for life- long intent detection,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Prompt augmented generative replay via supervised contrastive learning for life- long intent detection,

Reference 5

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Observation 286dcea8-aaec-40db-be1f-651f394d3d6b · outbound

This paper cites Overcoming catastrophic forgetting during domain adaptation of seq2seq language generation,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Overcoming catastrophic forgetting during domain adaptation of seq2seq language generation,

Reference 6

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Observation a8ea4367-9263-4931-9aa0-52aa9b01c344 · outbound

This paper cites Continual few-shot intent detection,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Continual few-shot intent detection,

Reference 7

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation d9cf56cf-e81b-4ce7-8993-d74e10c28c6f · outbound

This paper cites Continual Prompt Tuning for Dialog State Tracking.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Continual Prompt Tuning for Dialog State Tracking

Reference 8

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Observation 33c213e2-8676-4a4e-9223-835aecefcbc0 · outbound

This paper cites LFPT5: A unified framework for lifelong few-shot language learning based on prompt tuning of t5,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning LFPT5: A unified framework for lifelong few-shot language learning based on prompt tuning of t5,

Reference 9

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Observation be22b83a-7f73-4f9a-9564-7e2a5a1e3b83 · outbound

This paper cites icarl: Incremental classifier and representation learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning icarl: Incremental classifier and representation learning,

Reference 10

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Observation d94270c1-95aa-4b39-b9af-c376cbac3e5a · outbound

This paper cites Gradient episodic memory for continual learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Gradient episodic memory for continual learning,

Reference 11

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Observation c53f23e2-4360-4b86-8a06-9b0fcc2d170f · outbound

This paper cites LAMOL: LAnguage MOdeling for Lifelong Language Learning.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning LAMOL: LAnguage MOdeling for Lifelong Language Learning

Reference 12

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Observation 6dedf5d5-84ab-4ef7-ac12-a83f9033bfbf · outbound

This paper cites Learning without forgetting,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Learning without forgetting,

Reference 13

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Observation a3cb8e75-5f43-4fb8-bd8d-4415a9efe024 · outbound

This paper cites Memory aware synapses: Learning what (not) to forget,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Memory aware synapses: Learning what (not) to forget,

Reference 14

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Observation 1b0e0b5d-6ad2-45fb-9111-ed16472b23dc · outbound

This paper cites Continual Learning for Text Classification with Information Disentanglement Based Regularization.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Continual Learning for Text Classification with Information Disentanglement Based Regularization

Reference 15

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Observation c7ec5d7c-0193-40b3-845b-78d60ed1c999 · outbound

This paper cites Lpc: A logits and parameter calibration framework for continual learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Lpc: A logits and parameter calibration framework for continual learning,

Reference 16

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Observation 3548d5c8-3efe-415b-9851-c9201229db48 · outbound

This paper cites Packnet: Adding multiple tasks to a single network by iterative pruning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Packnet: Adding multiple tasks to a single network by iterative pruning,

Reference 17

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Observation d4cce5c5-9bf1-4b78-81e5-f5328aac21b2 · outbound

This paper cites Overcoming catas- trophic forgetting with hard attention to the task,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Overcoming catas- trophic forgetting with hard attention to the task,

Reference 18

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Observation 0d71284a-b697-46fb-8495-4def2dcabe77 · outbound

This paper cites A tutorial on energy-based learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning A tutorial on energy-based learning,

Reference 19

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Observation 498b6329-a5da-4e12-adda-e5a6176cc050 · outbound

This paper cites A theory of generative convnet,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning A theory of generative convnet,

Reference 20

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7d9a0e09-a5ea-464a-b788-03848123be73 · outbound

This paper cites Learning non-convergent non-persistent short-run mcmc toward energy-based model,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Learning non-convergent non-persistent short-run mcmc toward energy-based model,

Reference 21

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Observation 1cd37f86-e7b0-42db-8dfa-a30eef6d86af · outbound

This paper cites Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models

Reference 22

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Observation f18977ed-443c-4708-b518-dfad5fde3579 · outbound

This paper cites Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach

Reference 23

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Observation a0c060d5-f69e-40fb-9afe-7ad5082d024d · outbound

This paper cites Mistral 7B.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Mistral 7B

Reference 24

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Observation 9b5985c8-8fa8-4297-9501-261dc0f5ef8f · outbound

This paper cites The Natural Language Decathlon: Multitask Learning as Question Answering.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning The Natural Language Decathlon: Multitask Learning as Question Answering

Reference 25

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Observation a93ef1b0-76fc-4cd5-bf22-c4075a44c1cc · outbound

This paper cites Episodic memory in lifelong language learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Episodic memory in lifelong language learning,

Reference 26

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f0a95f8f-d80b-45fc-b6b9-99b8a27b7bfd · outbound

This paper cites Rvae-lamol: Residual variational autoencoder to enhance lifelong language learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Rvae-lamol: Residual variational autoencoder to enhance lifelong language learning,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 94ead1c7-3c11-435b-8239-336c94d89f39 · outbound

This paper cites Gener- ative replay inspired by hippocampal memory indexing for continual language learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Gener- ative replay inspired by hippocampal memory indexing for continual language learning,

Reference 28

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raw_fallback, observed 2026-08-10T21:16:35.943071Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f48a7ce0-d12c-4705-a2c6-742e9b1401e7 · outbound

This paper cites Prototype-guided memory replay for continual learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Prototype-guided memory replay for continual learning,

Reference 29

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raw_fallback, observed 2026-08-10T21:16:35.916236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 77c8bf88-951b-476d-9a51-f74ad27446a3 · outbound

This paper cites Progress & compress: A scalable framework for continual learning,.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Progress & compress: A scalable framework for continual learning,

Reference 30

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Observation 4f140fc0-7889-4af5-b5c0-0c2866a010cb · outbound

This paper cites Progressive Prompts: Continual Learning for Language Models.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 31

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Pith citing papers

No inbound Pith citation observations are available.