Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scaling Law for Quantization-Aware Training
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.14302.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-13T23:28:12.790404Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:47:28.471233Z
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 29230e97-6ab5-4f76-b4cd-0ae41a7c2b4f · inbound
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs cites this paper.
Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs Scaling Law for Quantization-Aware Training
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:30:55.053160Z
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 075e0595-15e1-411a-8f9d-235a7ed50c94 · inbound
NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.
NVIDIA Nemotron 3: Efficient and Open Intelligence Scaling Law for Quantization-Aware Training
Reference 197
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T01:40:42.766329Z
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 0c792bf6-3b7a-4016-bc8e-bcddde0b31a7 · inbound
Efficient Reasoning on the Edge cites this paper.
Efficient Reasoning on the Edge Scaling Law for Quantization-Aware Training
Reference 110
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T23:28:12.790404Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7729d0c6-9271-450c-ae88-41f708d5c269 · inbound
When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence cites this paper.
When Flat Minima Fail: Characterizing INT4 Quantization Collapse After FP32 Convergence Scaling Law for Quantization-Aware Training
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T11:45:20.811947Z
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 325ad9e5-98d7-48e3-8ae5-9ac037940e5b · inbound
APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing cites this paper.
APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing Scaling Law for Quantization-Aware Training
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:47:28.472823Z
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 8ee2f68a-0091-4da2-ac86-835dc4603600 · inbound
APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing cites this paper.
APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing Scaling Law for Quantization-Aware Training
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T11:24:38.674059Z
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.