Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:02:33.018306Z
Paper Citation Record · LEDGER
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level
As of 14 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2607.13511.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:25:48.969954Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T04:25:49.316983Z
Reference resolution
9 of 9 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 76f403ad-57b6-4908-83fe-b848d56cd727 · outbound
This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level BitNet: Scaling 1-bit Transformers for Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.401384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d0836ca-4e65-4ccd-b7a5-d76e4334c752 · outbound
This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.482313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b40a251a-68f6-405d-93de-bcaf3ad2a5ea · outbound
This paper cites Ternary Weight Networks.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level Ternary Weight Networks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.547154Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ebc5ce4-e4b4-4fde-8e96-09742a7fd340 · outbound
This paper cites Trained Ternary Quantization.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level Trained Ternary Quantization
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.602175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 301d4df4-c336-4613-ba53-6fdf28a098e6 · outbound
This paper cites an unresolved cited work.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.709356Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a516ef7c-85c2-4cde-9a5b-184acac37424 · outbound
This paper cites an unresolved cited work.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.788362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ca49007-e331-4bd6-99e1-95a9f5a2f714 · outbound
This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.834248Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4303767c-6ac6-430e-9a79-77af88cd7fc7 · outbound
This paper cites an unresolved cited work.
ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:32.933003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f853ec2-a042-444a-90a0-f731b80946eb · outbound
This paper cites Wang et al.
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:02:33.018306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 19ebbb6b-a435-4023-b8cf-559625b81bfe · inbound
Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving cites this paper.
Tied Trit-Planes: Constraining PTQTP to a Uniform Nine-Level Quantizer, with a Persistent Folded Format for Disk-Streamed Mixture-of-Experts Serving ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T04:25:49.320786Z
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.