Paper Citation Record · LEDGER

How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.07343.

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

pith.paper-citation-record.v1
2310.07343 v1

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:02:18.031020Z

measured 0 of 1 external citation measurements

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 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 2026-08-07T06:34:17.273281+00:00.