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Paper Citation Record · LEDGER

Representational Continuity for Unsupervised Continual Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2110.06976.

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

pith.paper-citation-record.v1
2110.06976 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:19:15.659518Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:37:09.249001Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dfd4d765-d8e6-48cc-ade1-34627f9d4e2e · inbound

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation cites this paper.

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation Representational Continuity for Unsupervised Continual Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T17:19:15.659518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:19:15.659518Z digest=sha256:cd4d4ea174f2a30adf2a0754f16e2bc82f7b0677a36abf41287699df4ed2ddf8

Observation d77daa44-bd34-446f-b00a-15e1781ccd4b · inbound

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay cites this paper.

Class Incremental Continual Learning with Self-Organizing Maps and Variational Autoencoders Using Synthetic Replay Representational Continuity for Unsupervised Continual Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:14.139481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:31:14.139481Z digest=sha256:3819b45c321bf5ca334d87573e0eeb13aad7744150a74bb808ba16080ece3162

Observation 81b08581-4c5e-42a1-b920-9508a72528f4 · inbound

Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering cites this paper.

Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering Representational Continuity for Unsupervised Continual Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T14:03:50.905652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:03:50.905652Z digest=sha256:d60736fdec3af339c6b00cfa9cf7224e820ad32a2f8fbcc9c9869c4b67cf3a3d

Observation 709f7eff-40c2-422d-8a3d-6a32606d48d8 · inbound

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data cites this paper.

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data Representational Continuity for Unsupervised Continual Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:59:40.808126Z

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=pdf_text observed=2026-05-15T02:55:46.616590Z digest=sha256:9c6ec0405a7eed4c31dcf3b9ea3c4a6486a405ca8ddebf93dbe04d1eec86efe4

Observation f6b8b96e-45ae-4a3c-9503-a39b8379e9d4 · inbound

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data cites this paper.

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data Representational Continuity for Unsupervised Continual Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:43:43.483686Z

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=pdf_text observed=2026-05-20T20:39:11.311301Z digest=sha256:d16e2aa5888c2166b0c4968869e3ff5ae35d8de31653284ae8614f216ffb2a01

Observation bb311bc1-909b-4ab0-8982-18ba9e7cd90c · inbound

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data cites this paper.

MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data Representational Continuity for Unsupervised Continual Learning

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-21T07:44:02.737392Z

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=pdf_text observed=2026-05-21T07:43:49.653592Z digest=sha256:0ad0893428b2ccf5646e8b5f3791c49fec8069c81cedac666738f307c62315ed

Observation 9dd492d9-a2b7-4a51-9ded-1489f0b8bd21 · inbound

Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation cites this paper.

Unsupervised Continual Clustering via Forward-Backward Knowledge Distillation Representational Continuity for Unsupervised Continual Learning

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:37:09.250326Z

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=pdf_text observed=2026-06-27T22:33:12.152388Z digest=sha256:86b5e7c0f61ac1802416504f10818a3dd14d7fcb386c943d4b63b0f1c5084a9e

Observation 158b1b01-2d4f-4016-83ec-c4c561758d16 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Representational Continuity for Unsupervised Continual Learning

Reference 133

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.664161Z

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=2026-07-01T06:10:26.634933Z digest=sha256:606514b50528da8f69d25c0ed51f99f47b4ac9d7b14cac36736bb486ce0609d9