Paper Citation Record · LEDGER

Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.06105.

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

pith.paper-citation-record.v1
2405.06105 v1

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:56:22.933369Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T23:30:46.049292Z

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 ad02b212-88c4-430e-8010-61dea17a81b0 · inbound

Theoretical Benefit and Limitation of Diffusion Language Model cites this paper.

Theoretical Benefit and Limitation of Diffusion Language Model Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T20:56:22.933369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1068b97d-4b75-47bb-8c0a-079e69f51d92 · inbound

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model cites this paper.

Hierarchical Tree Search-based User Lifelong Behavior Modeling on Large Language Model Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:28.108508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fbec718-33e2-4357-a576-971245cd44d9 · inbound

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining cites this paper.

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:12.498757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0153c90e-717d-4cc3-9e0b-cd75b9cada56 · inbound

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training cites this paper.

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.908080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe6af2f7-9267-4082-a24d-1990f785a5a3 · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:30:46.051398Z

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 30828e66-4cda-4974-9dca-b0ea4200d69c · inbound

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching cites this paper.

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:29:24.659495Z

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.