Paper Citation Record · LEDGER

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models

As of 8 August 2026, this Paper Citation Record lists 6 of 6 outbound references and 0 inbound Pith citation observations for arXiv:2607.22694.

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

pith.paper-citation-record.v1
2607.22694 v1

Coverage vector

measured 6 of 6 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:23:34.561927Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

6 of 6 outbound references displayed

verified exact0
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a5ce073-3d15-4023-8132-6553333ad29b · outbound

This paper cites Neural Computation , volume=.

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models Neural Computation , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T21:23:33.968449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 454c6093-c4e8-4411-b5ee-54d71420053c · outbound

This paper cites an unresolved cited work.

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T21:23:34.090914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b042675-86f9-4637-99fe-b9ab72d0530e · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models The Curious Case of Neural Text Degeneration

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:23:34.177120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66d481a0-86b6-42cd-b340-114fa6499dde · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:23:34.315364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7f024d-0ae1-48cb-8ec3-a98836534d1e · outbound

This paper cites A Deep Reinforced Model for Abstractive Summarization.

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models A Deep Reinforced Model for Abstractive Summarization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T21:23:34.460979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8182a4-d9b0-452a-9499-e701db41df60 · outbound

This paper cites Neural Text Generation with Unlikelihood Training.

Bayesian Repetition Penalty: A Principled Adjacent-Conditional Framework for Reversing Attention Collapse in Autoregressive Language Models Neural Text Generation with Unlikelihood Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:23:34.561927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.