Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.19103.
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 2026-08-07T14:50:07.266451Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T19:32:34.752274Z
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 047a11fe-1364-4898-85c9-f4d066823795 · inbound
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs cites this paper.
NeUQI: Near-Optimal Uniform Quantization Parameter Initialization for Low-Bit LLMs TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
Reference 1989
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:50:07.266451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf0ce28b-93f8-4ae0-bd95-7dff8629a7f6 · inbound
Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models cites this paper.
Edge-ASR: Towards Low-Bit Quantization of Automatic Speech Recognition Models TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:33:17.842506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fa0cdd8-72b5-45d3-ac84-c2e7b4f1cca8 · inbound
SPARQLe: Sub-Precision Activation Representation for Quantized LLM Inference cites this paper.
SPARQLe: Sub-Precision Activation Representation for Quantized LLM Inference TesseraQ: Ultra Low-Bit LLM Post-Training Quantization with Block Reconstruction
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T19:32:34.753674Z
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.