Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.07343.
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 2026-08-10T05:33:52.501750Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:11:52.704244Z
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 fead3cac-97ab-4397-bb1f-1c268155f0ac · inbound
Multiple Abstraction Level Retrieve Augment Generation cites this paper.
Multiple Abstraction Level Retrieve Augment Generation How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T05:33:52.501750Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 38a22920-e678-4d0b-bc9b-30258a91d1b7 · inbound
One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.
One for All: Update Parameterized Knowledge Across Multiple Models How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:02:18.031020Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87b57c8e-c12e-49b7-a269-950a04fd0d57 · inbound
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations cites this paper.
CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:18:46.662354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e27c8349-6b35-4807-bd9a-a76b9c26bbc3 · inbound
GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.
GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Reference 88
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:06:07.633159Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35316758-3309-488b-a8d8-51835c3dc90d · inbound
Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems cites this paper.
Foundational Design Principles and Patterns for Building Robust and Adaptive GenAI-Native Systems How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:11:52.706761Z
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.