Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:10.202648Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2608.01704.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:10.202648Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
12 of 12 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 590ebf92-5e13-49b6-95b9-b58a8b9ffdd3 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Language Models Agree With Each Other, Not With Readers
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f58f7d54-77d8-45a2-8027-689a4f434b17 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Personal Salience: Highlighting Is Social, but Individuality Lives in Selection
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8be6a00-f513-41cc-970f-b639c130b3f3 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? The Long Tail, Not the Front Page: Cold-Start Prediction of Crowd Highlight Salience
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f6bd52b7-2819-4e15-b7b2-690456ea129f · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Unresolved cited work
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cfed68b7-2298-426d-a868-017c01fedc31 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Denisov-Blanch, J
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50af255d-e041-4cdb-a160-dd4f9b4a8654 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Wisdom from Diversity: Bias Mitigation Through Hybrid Human-LLM Crowds
Reference 6
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 41bdb891-3502-4a91-92ec-d5d299d47bce · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Great Models Think Alike and this Undermines AI Oversight
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d15fd6a5-32d9-48b5-a2ac-443aad570904 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d78e7b5-35ea-4d24-8624-ad9ab2d01459 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Distilling the Knowledge in a Neural Network
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ede2da6-0f21-4cac-9d77-a69eac232420 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? QLoRA: Efficient Finetuning of Quantized LLMs
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7605ad79-bafe-4cc7-a8f8-a0d8beaca872 · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Qwen3 Technical Report
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf995f93-9d4b-4d25-b750-c83e81c94a9b · outbound
Floor, Ceiling, and the Fusion Gap: How Much of Crowd Reading Attention Can Machines Predict? Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.