Paper Citation Record · LEDGER

Towards Incremental Learning in Large Language Models: A Critical Review

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.18311.

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

pith.paper-citation-record.v1
2404.18311 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:27.936058Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:24:40.027571Z

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 c9e70e27-54a6-4b89-bb42-9ae954f6f404 · inbound

The Scaling Law for LoRA Base on Mutual Information Upper Bound cites this paper.

The Scaling Law for LoRA Base on Mutual Information Upper Bound Towards Incremental Learning in Large Language Models: A Critical Review

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:58:52.574174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529f355d-e1ec-410b-8770-7601458b3a14 · inbound

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey cites this paper.

Meta-Thinking in LLMs via Multi-Agent Reinforcement Learning: A Survey Towards Incremental Learning in Large Language Models: A Critical Review

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T11:50:27.936058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23d5fb7-3e63-41bd-8505-55eef17187a7 · inbound

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration cites this paper.

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration Towards Incremental Learning in Large Language Models: A Critical Review

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T05:51:29.357702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d51a11-47be-498a-bd35-ef25ce5b80ea · inbound

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs cites this paper.

Mix-MoE: Improving Multilingual Machine Translation of Large Language Models through Mixed MoEs Towards Incremental Learning in Large Language Models: A Critical Review

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:24:40.028942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.