Paper Citation Record · LEDGER

Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.15805.

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

pith.paper-citation-record.v1
2305.15805 v3

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 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:43:53.709821Z

measured 0 of 1 external citation measurements

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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+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 2026-08-20T06:33:59.587034+00:00.

Observation b9289772-99e8-4efc-9892-b3ee2d6ca185 · inbound

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation cites this paper.

CSR:Achieving 1 Bit Key-Value Cache via Sparse Representation Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:43:53.709821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ccb1e32-6ca0-4ac1-8990-c23d71881605 · inbound

Provence: efficient and robust context pruning for retrieval-augmented generation cites this paper.

Provence: efficient and robust context pruning for retrieval-augmented generation Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T13:43:43.659031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a396dda-4596-493d-97e6-661675bc099b · inbound

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing cites this paper.

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T13:58:44.860751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.