Paper Citation Record · LEDGER

Law of the Weakest Link: Cross Capabilities of Large Language Models

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.19951.

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

pith.paper-citation-record.v1
2409.19951 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:58:31.022253Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:05:04.559699Z

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 c5263d52-72f4-4547-965e-7db28e34b226 · inbound

Self-Generated Critiques Boost Reward Modeling for Language Models cites this paper.

Self-Generated Critiques Boost Reward Modeling for Language Models Law of the Weakest Link: Cross Capabilities of Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T12:58:31.022253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71a16bef-a5f7-43dc-a220-6ece9adb0772 · inbound

BTS: Harmonizing Specialized Experts into a Generalist LLM cites this paper.

BTS: Harmonizing Specialized Experts into a Generalist LLM Law of the Weakest Link: Cross Capabilities of Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T21:59:01.351042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f792b22-1b5f-4fe1-ba87-a930415692ca · inbound

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition cites this paper.

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition Law of the Weakest Link: Cross Capabilities of Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:11.654664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032691c2-97b1-4b14-ad36-fec91d514772 · inbound

DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts cites this paper.

DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts Law of the Weakest Link: Cross Capabilities of Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T15:52:38.666818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 46ddb388-1c9e-4e39-82e4-51da90680c89 · inbound

DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts cites this paper.

DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts Law of the Weakest Link: Cross Capabilities of Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:05:04.561281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b192107-bb25-4d91-bef1-e0f89282f072 · inbound

DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts cites this paper.

DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts Law of the Weakest Link: Cross Capabilities of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T14:03:10.172249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.