Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.15805.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-17T18:00:50.053377Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T18:00:50.475503Z
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 4da32423-fa58-431f-b363-29295125d054 · inbound
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.
H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T18:00:50.478057Z
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 5cbe9eea-db43-480c-99c7-f459c49f2710 · inbound
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.
Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Reference 265
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T00:57:26.780778Z
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 b3b09fbd-e00b-40f0-9a3c-4b1d831a4060 · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Reference 158
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:39:33.674653Z
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.