Pith. sign in

Paper Citation Record · LEDGER

Understanding Forgetting in Continual Learning with Linear Regression

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.17583.

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

pith.paper-citation-record.v1
2405.17583 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:45:01.806825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T08:09:51.254430Z

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 1fe805f9-a4ac-4b73-a665-0ff2028ded9a · inbound

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective cites this paper.

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective Understanding Forgetting in Continual Learning with Linear Regression

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:25.845017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:55:25.845017Z digest=sha256:c7e94aaf55d0778ac88d81acf9d737df3d32700832d52836e11f92e2870eb530

Observation cb5b1cbb-3f14-404c-91e0-98969d5a2720 · inbound

SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators cites this paper.

SLE-FNO: Single-Layer Extensions for Task-Agnostic Continual Learning in Fourier Neural Operators Understanding Forgetting in Continual Learning with Linear Regression

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:09:51.258868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T08:07:24.246646Z digest=sha256:8e00cf8c7268ad3b05e6a07643ab0676a60144d7e62fd33725e1e991fedc214b

Observation 4a885757-2566-42df-9e69-a97c6d36caf5 · inbound

Benign Overfitting in Adversarial Training for Vision Transformers cites this paper.

Benign Overfitting in Adversarial Training for Vision Transformers Understanding Forgetting in Continual Learning with Linear Regression

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:20.997254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T02:58:29.672338Z digest=sha256:552e4e431d0906014c6265f02bc799f2e0343b24e02e3f2153350bca87c22c81

Observation 3cde6fc8-1c9d-4e52-aa4a-c0d3070d6bd5 · inbound

How Much is Brain Data Worth for Machine Learning? cites this paper.

How Much is Brain Data Worth for Machine Learning? Understanding Forgetting in Continual Learning with Linear Regression

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:41:45.720659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T04:01:28.080306Z digest=sha256:7095abd3645c392a115831198af5fcc8cf111f966c42eb2c180ce502d9e84230

Observation 091971e5-a616-4650-82cd-458d882876cb · inbound

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning cites this paper.

Drift and Dependence: Layer-wise Information-Theoretic Bounds for Replay-Based Continual Learning Understanding Forgetting in Continual Learning with Linear Regression

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T00:45:01.806825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:45:01.806825Z digest=sha256:2f11429b8ce015d8a34432697ca04c218cb2630f0c81f83eae3978e64f92b853