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Paper Citation Record · LEDGER

On the Computation of the Fisher Information in Continual Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2502.11756.

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

pith.paper-citation-record.v1
2502.11756 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:28:52.495310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:16:51.324477Z

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 f2716f22-19fe-488b-8d44-f1125531625d · inbound

Continual Learning for Wireless Channel Prediction cites this paper.

Continual Learning for Wireless Channel Prediction On the Computation of the Fisher Information in Continual Learning

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T19:28:52.495310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T19:28:52.495310Z digest=sha256:a94d0cc93fa924540d663f8e2802b2ea2bfa3b61412645c9802039e7d89e8e9d

Observation 7e53f386-d188-4a49-8795-52b818d0d9c1 · inbound

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding cites this paper.

BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding On the Computation of the Fisher Information in Continual Learning

Reference 105

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:16:51.327180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T21:13:41.362773Z digest=sha256:cdb8695865292c4cdf079487dfe711f5d333a74c72e9f7d066f023e2b0ed3f89

Observation 75c03d67-a1cd-43e4-9e8c-97bce81ee786 · 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 On the Computation of the Fisher Information in Continual Learning

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:09:51.316095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T08:07:24.246646Z digest=sha256:38759d0402a382065c7dcfb883d8ae9e01084fd80b65a65bc67394a7827692fd

Observation a54fb483-c1a7-405d-a1f2-350737c2ec45 · inbound

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context cites this paper.

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context On the Computation of the Fisher Information in Continual Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:57.846075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:47:15.491588Z digest=sha256:ced59fbaf78ae85a49e5f671c258e7d8ef220355b23cf6ebd018225c1a893ea6

Observation 5410c2d8-1275-4b02-b4c6-d18c0550254a · inbound

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context cites this paper.

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context On the Computation of the Fisher Information in Continual Learning

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:57:31.494046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T07:53:43.047696Z digest=sha256:0118697f9428af36d441f8dd080e26ada6fe5993b0373b9c3cba2492d9283208