Paper Citation Record · LEDGER

Quantifying Generalization Complexity for Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.01769.

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

pith.paper-citation-record.v1
2410.01769 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:33:53.150000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:26:31.475032Z

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 f2127cd4-bde8-49de-89e3-f0afacff5502 · inbound

LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering cites this paper.

LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering Quantifying Generalization Complexity for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:33:53.150000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c852bc5e-d90a-4530-8dc2-4d1d23b4fed7 · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search Quantifying Generalization Complexity for Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:02.444279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad8330c-4705-4a92-bdb3-34664317f14f · inbound

Token-Level LLM Collaboration via FusionRoute cites this paper.

Token-Level LLM Collaboration via FusionRoute Quantifying Generalization Complexity for Large Language Models

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:26:31.479889Z

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 8410c22e-4d1f-4afb-8801-971b92b1665a · inbound

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs cites this paper.

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs Quantifying Generalization Complexity for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T06:05:52.898913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.