Paper Citation Record · LEDGER

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers

As of 13 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2606.00957.

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

pith.paper-citation-record.v1
2606.00957 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T17:48:58.283267Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:05:40.235610Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T10:17:58.010173Z

Reference resolution

9 of 9 outbound references displayed

verified exact3
verified fuzzy0
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2105e37a-0a44-4854-aa43-ff164c866bc4 · outbound

This paper cites Scalable diffusion models with transformers,.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers Scalable diffusion models with transformers,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T17:48:58.283267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7571aa4d-6976-4c63-af63-4f804b88808d · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers Wan: Open and Advanced Large-Scale Video Generative Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-01T20:46:13.520771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9c9522a6-e0ec-435b-85cd-4cae09449254 · outbound

This paper cites GPTQ: Accurate post-training quantization for gen- erative pre-trained transformers,.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers GPTQ: Accurate post-training quantization for gen- erative pre-trained transformers,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T17:48:58.283267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c3a3e4-c31e-4ef5-85d7-196cbf6f7986 · outbound

This paper cites SmoothQuant: Accurate and efficient post-training quantization for large language models,.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers SmoothQuant: Accurate and efficient post-training quantization for large language models,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T17:48:58.283267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc413f4d-45e9-417a-8953-5eada850e24d · outbound

This paper cites Q-Diffusion: Quantizing diffusion models,.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers Q-Diffusion: Quantizing diffusion models,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T17:48:58.283267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5609ffd5-44d1-4dd4-8e4d-892e86ec8250 · outbound

This paper cites Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:13.523814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 077157c5-0501-426f-a5fc-732a662c4a42 · outbound

This paper cites LLM.int8(): 8-bit matrix multiplication for trans- formers at scale,.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers LLM.int8(): 8-bit matrix multiplication for trans- formers at scale,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T17:48:58.283267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39382753-e800-48d8-8de9-6e3250753ad6 · outbound

This paper cites Ascend HiFloat8 Format for Deep Learning.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers Ascend HiFloat8 Format for Deep Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:46:13.520818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 39bec63a-da97-4c65-87a5-5dd3b650f2bc · outbound

This paper cites VBench: Comprehensive benchmark suite for video generative models,.

Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers VBench: Comprehensive benchmark suite for video generative models,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T17:48:58.283267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7b7fc179-e309-44d8-bbea-c3003ba97089 · inbound

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs cites this paper.

Holding the FP8 Quality Ceiling at 8-Bit Weights and Activations: INT8 and GGUF Post-Training Quantization of Ideogram 4.0 for Consumer GPUs Boundary-Protection W8A8 HiFloat8 Quantization for Large-Scale Text-to-Video Diffusion Transformers

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-03T10:17:58.011348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.