Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How new data permeates LLM knowledge and how to dilute it
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.09522.
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 2026-08-07T12:34:46.249289Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T01:25:34.955614Z
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 c0fdf07c-38a2-45f9-a5de-ff039de3eba3 · inbound
ScienceMeter: Tracking Scientific Knowledge Updates in Language Models cites this paper.
ScienceMeter: Tracking Scientific Knowledge Updates in Language Models How new data permeates LLM knowledge and how to dilute it
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:34:46.249289Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84407bae-5299-4641-afc2-84184bf6f362 · inbound
Learning Facts at Scale with Active Reading cites this paper.
Learning Facts at Scale with Active Reading How new data permeates LLM knowledge and how to dilute it
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T21:05:45.240391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a306189f-edb8-469c-85bb-499fb4e5b18b · inbound
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution cites this paper.
Lethe: Purifying Backdoored Large Language Models with Knowledge Dilution How new data permeates LLM knowledge and how to dilute it
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:42:31.500870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8edd31e1-e694-4465-a25f-dfb2038ebf6c · inbound
Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation cites this paper.
Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation How new data permeates LLM knowledge and how to dilute it
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:25:34.958269Z
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 a9a3cfe6-2281-4944-adaa-ed9622d01d62 · inbound
Can a Language Model Learn Facts Continually in Its Weights? cites this paper.
Can a Language Model Learn Facts Continually in Its Weights? How new data permeates LLM knowledge and how to dilute it
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:36:43.499258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.