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Paper Citation Record · LEDGER

Continual Training of Language Models for Few-Shot Learning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.05549.

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

pith.paper-citation-record.v1
2210.05549 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:20:58.117215Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:26:42.033724Z

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 1b729fe8-ad12-437a-84f1-178afed7578f · inbound

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning cites this paper.

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning Continual Training of Language Models for Few-Shot Learning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:26:42.036396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-18T08:26:41.953873Z digest=sha256:e2308cc3a8f8a931a7dd2aca4456f74c3705ceb34eea3aae0beb63b050e6f8ea

Observation f5da7e7c-0855-480b-ab65-82486e8afafe · inbound

AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs cites this paper.

AggTruth: Contextual Hallucination Detection using Aggregated Attention Scores in LLMs Continual Training of Language Models for Few-Shot Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T23:20:58.117215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:20:58.117215Z digest=sha256:2478d0111546ac672964bb8d5dc8c8efd72c64625ec9dd162707c7de19e22114