Paper Citation Record · LEDGER

What is Wrong with Perplexity for Long-context Language Modeling?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.23771.

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

pith.paper-citation-record.v1
2410.23771 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:31.325398Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T02:55:53.524341Z

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 d806dfbb-19a7-441a-be91-e5c89c88849a · inbound

BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models cites this paper.

BehaviorBox: Automated Discovery of Fine-Grained Performance Differences Between Language Models What is Wrong with Perplexity for Long-context Language Modeling?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:32:31.325398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b435a991-96da-44a8-bce5-26fec2baff7d · inbound

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

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training What is Wrong with Perplexity for Long-context Language Modeling?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T10:30:12.767269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2313e17d-c595-41fd-a20e-d44b74b33b3e · inbound

Discrete Diffusion Models for Language Generation cites this paper.

Discrete Diffusion Models for Language Generation What is Wrong with Perplexity for Long-context Language Modeling?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:14.958556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24142fad-a77d-4ec5-9fe2-816116b47c40 · inbound

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression cites this paper.

Gated KalmaNet: A Fading Memory Layer Through Test-Time Ridge Regression What is Wrong with Perplexity for Long-context Language Modeling?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:00:27.011378Z

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.

Observation ad5657e9-05b0-4bbf-9105-554d8d40d940 · inbound

PolicyLong: Towards On-Policy Context Extension cites this paper.

PolicyLong: Towards On-Policy Context Extension What is Wrong with Perplexity for Long-context Language Modeling?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:55:59.998175Z

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.

Observation a5c9db08-f210-4c15-aae4-c3eb852c7453 · inbound

On the Importance and Evaluation of Narrativity in Natural Language AI Explanations cites this paper.

On the Importance and Evaluation of Narrativity in Natural Language AI Explanations What is Wrong with Perplexity for Long-context Language Modeling?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.975670Z

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.

Observation 8ada59a2-ddc4-4ce6-84e7-76f550c1e3a2 · inbound

Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis cites this paper.

Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis What is Wrong with Perplexity for Long-context Language Modeling?

Reference 144

Resolution: verified exact; arxiv_id, observed 2026-05-15T15:06:09.635046Z

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.

Observation b4a41d54-d373-4ac0-bf22-aebfbb84e150 · inbound

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing cites this paper.

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing What is Wrong with Perplexity for Long-context Language Modeling?

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:51:29.172479Z

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.

Observation c8434799-30ec-4527-bf8d-527ab7abb1a4 · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence What is Wrong with Perplexity for Long-context Language Modeling?

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.614806Z

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.

Observation b2a3e53a-b2c4-4347-b4f9-18986e879cd2 · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence What is Wrong with Perplexity for Long-context Language Modeling?

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T12:20:55.464544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dd77c53-abfc-460f-8cfb-1a8a671423b9 · inbound

How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization cites this paper.

How Data Shapes RoPE Frequency Usage: From Positional Scale Matching to Length Generalization What is Wrong with Perplexity for Long-context Language Modeling?

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-09T02:55:53.525674Z

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.