Paper Citation Record · LEDGER

SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.12094.

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

pith.paper-citation-record.v1
2412.12094 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:18:46.625475Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dc318184-6f14-4f85-aeb2-b1463aee789f · inbound

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention cites this paper.

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:46:30.212281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1a8464b1-0285-4290-bf96-5dec339b3a40 · inbound

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens cites this paper.

EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T21:18:46.625475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e3cbe33-ce91-4136-8db3-9c084ff0c855 · inbound

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference cites this paper.

OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:08:06.728594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57454bc2-d061-44aa-ae76-7f3e17e17fe3 · inbound

CaliDrop: KV Cache Compression with Calibration cites this paper.

CaliDrop: KV Cache Compression with Calibration SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T13:57:15.675892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e2590e-7e60-4785-bac5-541b06db62e6 · inbound

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference cites this paper.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T14:43:00.999081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4761a781-8aaa-4876-8e24-731d6cab01ea · inbound

LightThinker++: From Reasoning Compression to Memory Management cites this paper.

LightThinker++: From Reasoning Compression to Memory Management SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:28:01.786972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ac373e4-d79f-4568-91fd-1f58389d87dd · inbound

SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing cites this paper.

SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:52.129872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8d5cab32-d60d-4afa-8d74-00ed049ff9fc · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.291190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ce8edf70-bd41-4f56-8b59-cb6c2af227a6 · inbound

Metaphor Tracer: A Theory-Informed Analysis of Hidden States cites this paper.

Metaphor Tracer: A Theory-Informed Analysis of Hidden States SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-31T07:30:05.476997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.