Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Examining Forgetting in Continual Pre-training of Aligned Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.03129.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:10:14.591621Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T13:48:20.831541Z
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 2a9180e8-9065-4d9c-88cf-e10125918815 · inbound
The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.
The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Examining Forgetting in Continual Pre-training of Aligned Large Language Models
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:10:14.591621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa24de08-ac04-4c7c-afc1-dbd5d3a855b7 · inbound
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.
Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Examining Forgetting in Continual Pre-training of Aligned Large Language Models
Reference 176
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:36:36.500838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa4d997f-22b2-4ef9-a464-7ee36f46cdab · inbound
TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale cites this paper.
TFGN: Task-Free, Replay-Free Continual Pre-Training Without Catastrophic Forgetting at LLM Scale Examining Forgetting in Continual Pre-training of Aligned Large Language Models
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T17:07:41.600164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ed0aad0a-f824-40c9-918a-3c379bb87050 · inbound
Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training cites this paper.
Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training Examining Forgetting in Continual Pre-training of Aligned Large Language Models
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T23:04:00.899086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7f374d50-fc67-4f01-b9b7-4f0970afb7b8 · inbound
SupraBench: A Benchmark for Supramolecular Chemistry cites this paper.
SupraBench: A Benchmark for Supramolecular Chemistry Examining Forgetting in Continual Pre-training of Aligned Large Language Models
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T13:48:20.832777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.