Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models Lack Understanding of Character Composition of Words
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.11357.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:28:33.377761Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T09:59:44.971467Z
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 907ed088-87fb-46dc-881f-af62eaf2d54b · inbound
ChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots cites this paper.
ChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots Large Language Models Lack Understanding of Character Composition of Words
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:46:28.572264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0741fa2d-52c3-43f1-ad02-adfb2d64a341 · inbound
Why Do Large Language Models (LLMs) Struggle to Count Letters? cites this paper.
Why Do Large Language Models (LLMs) Struggle to Count Letters? Large Language Models Lack Understanding of Character Composition of Words
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:28:33.377761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba0c836a-8f1f-4685-a613-70f026f3163d · inbound
Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions cites this paper.
Beyond Accuracy: Diagnosing Algebraic Reasoning Failures in LLMs Across Nine Complexity Dimensions Large Language Models Lack Understanding of Character Composition of Words
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:55:59.113748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 40cd2810-2551-4db9-af96-32ab2e641e7c · inbound
Do multimodal models imagine electric sheep? cites this paper.
Do multimodal models imagine electric sheep? Large Language Models Lack Understanding of Character Composition of Words
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T03:26:19.621023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 09209ac8-014d-4946-be5d-8938bfaaeb99 · inbound
Measuring Progress Toward AGI: A Cognitive Framework cites this paper.
Measuring Progress Toward AGI: A Cognitive Framework Large Language Models Lack Understanding of Character Composition of Words
Reference 133
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T12:03:23.871411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bf46dd6b-e12f-4528-8f21-50a6bb22de9a · inbound
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Large Language Models Lack Understanding of Character Composition of Words
Reference 212
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T09:59:44.972774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4d7b6cec-c9bc-43e0-996f-090a8d4280a1 · inbound
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning cites this paper.
SingGuard: A Policy-Adaptive Multimodal LLM Guardrail with Dynamic Reasoning Large Language Models Lack Understanding of Character Composition of Words
Reference 211
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T18:55:59.717742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.