Pith. sign in

Paper Citation Record · LEDGER

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes

As of 6 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2508.03484.

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

pith.paper-citation-record.v1
2508.03484 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:28:32.075846Z

measured 65 of 65 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy63
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d012146-28e9-4871-9427-63b06ac1f4dd · outbound

This paper cites Quarot: Outlier-free 4-bit inference in rotated llms.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Quarot: Outlier-free 4-bit inference in rotated llms.����� �������� ����������������, 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.541509Z

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.

source=pdf_text observed=2026-08-06T04:28:25.476452Z digest=sha256:e6859e4151e1244294813c6a4781abf77e85c4e2bf479e786a5817c7c669b7c1

Observation 1e07ea0d-4b9b-4597-b994-6e6b15649867 · outbound

This paper cites Quip: 2-bit quantiza- tion of large language models with guarantees.�������� �� ������ ����������� ���������� �������, 36:4396–4429, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Quip: 2-bit quantiza- tion of large language models with guarantees.�������� �� ������ ����������� ���������� �������, 36:4396–4429, 2023

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.402562Z

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.

source=pdf_text observed=2026-08-06T04:28:25.569037Z digest=sha256:705f82934ca58b94e59f0747f063e5e7756a4118bcf892744abc256926c2f1a0

Observation 8c077569-b83a-4819-8194-4819cef74c8f · outbound

This paper cites Conceptcraft: One-shot personalized text-to-image generation via object-background disentanglement.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Conceptcraft: One-shot personalized text-to-image generation via object-background disentanglement.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.257552Z

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.

source=pdf_text observed=2026-08-06T04:28:25.718781Z digest=sha256:b5d0086e8a157b65dbcd9323100a18821baafdb3b2e6e6e3b2c51b3a9ed18fcb

Observation bc871fbd-b2d2-4695-be17-d6b31e2d0a52 · outbound

This paper cites Pixart-� : Fast training of diffusion transformer for photorealistic text-to-image synthesis.����� �������� ����������������, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Pixart-� : Fast training of diffusion transformer for photorealistic text-to-image synthesis.����� �������� ����������������, 2023

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:43.104815Z

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.

source=pdf_text observed=2026-08-06T04:28:25.835224Z digest=sha256:dfde993547c164f321709119df8d9632d371152cd6854218c2eada8ad5782a07

Observation 2d101326-5fac-42a1-ac94-4f4a0c92d7c7 · outbound

This paper cites Pixart- �: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Pixart- �: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.966131Z

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.

source=pdf_text observed=2026-08-06T04:28:25.931276Z digest=sha256:616907a59f6b1be184f9af6f25ac765ae76c236d74d701e4c0223bc766150639

Observation 3af2de67-5d83-4022-acb7-d3f8b28c83b3 · outbound

This paper cites Q-dit: Accurate post-training quantization for diffusion transformers.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Q-dit: Accurate post-training quantization for diffusion transformers

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.842088Z

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.

source=pdf_text observed=2026-08-06T04:28:26.072063Z digest=sha256:2671c9a21097e2196cfb887302e8bb5bd5fde129e66acfda5938e2d6d82fe9c3

Observation 4fa0d04b-f9a4-4fb0-a634-6de76a5a7358 · outbound

This paper cites Microsoft coco captions: Data collection and evaluation server.����� �������� ����������������, 2015.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Microsoft coco captions: Data collection and evaluation server.����� �������� ����������������, 2015

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.714238Z

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.

source=pdf_text observed=2026-08-06T04:28:26.190578Z digest=sha256:6ea0707be3c07edcedef7c3ccd2acfa2756913692ab393829513038b42bd7b0f

Observation d3e04ba4-11a6-485f-bb4e-41ec3d1a954f · outbound

This paper cites Llm.int8(): 8-bit matrix multiplication for transformers at scale.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Llm.int8(): 8-bit matrix multiplication for transformers at scale

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.533335Z

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.

source=pdf_text observed=2026-08-06T04:28:26.274857Z digest=sha256:033dbb11b88d85ed861628c5ef9ae18b09cd5ba6839a1a44bee32d6157115873

Observation 6f8b23ff-6ab3-4bfc-99ca-f469cb2a75b8 · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.407511Z

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.

source=pdf_text observed=2026-08-06T04:28:26.350545Z digest=sha256:13cadd4a04d9bc306e42e9740f6efbd827e5d83d052a9fbbcff36126f17a7ac8

Observation c95a5278-ffce-4764-9658-a191bcef17f5 · outbound

This paper cites Q-vdit: Towards accurate quantization and distillation of video-generation diffusion transformers.����� �������� ����������������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Q-vdit: Towards accurate quantization and distillation of video-generation diffusion transformers.����� �������� ����������������, 2025

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.253144Z

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.

source=pdf_text observed=2026-08-06T04:28:26.466318Z digest=sha256:747a54db05b1c8d43b4883b018e3f186e2b4fe36c7a94f67fc49c3011b7456b2

Observation d9a49fee-a0d1-4831-a80e-055f1ad62aa1 · outbound

This paper cites Shiftquant: Towards accurate and efficient sub-8-bit integer training.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Shiftquant: Towards accurate and efficient sub-8-bit integer training.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.102590Z

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.

source=pdf_text observed=2026-08-06T04:28:26.553887Z digest=sha256:aef5e76467e54e7ad8eeb4cb8585483b494aa27c978d16c2ce9b333f3175bca3

Observation f83f7efa-796b-410d-979f-3f2dfc0cfa60 · outbound

This paper cites Ptqd: Accurate post-training quantization for diffusion models.����� �������� ����������������, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Ptqd: Accurate post-training quantization for diffusion models.����� �������� ����������������, 2023

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:42.003342Z

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.

source=pdf_text observed=2026-08-06T04:28:26.651516Z digest=sha256:2b5a7811022b2fb90eec7ef460f60f65d2e553c57d7b007959e65517851468c0

Observation 08e71996-a4d2-40ca-9f4f-14c11a7a0884 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.�������� �� ������ ����������� ���������� �������, 30, 2017.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Gans trained by a two time-scale update rule converge to a local nash equilibrium.�������� �� ������ ����������� ���������� �������, 30, 2017

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:41.795349Z

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.

source=pdf_text observed=2026-08-06T04:28:26.781151Z digest=sha256:f3c7cf0169b86444638e2e3aa51e6dafbd35512605787d083c018445fb46a6e7

Observation 40e6d4ec-7ce1-4999-a0ca-73eafbdec8ff · outbound

This paper cites Tfmq-dm: Temporal feature maintenance quantization for diffusion models.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Tfmq-dm: Temporal feature maintenance quantization for diffusion models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:41.597890Z

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.

source=pdf_text observed=2026-08-06T04:28:26.891826Z digest=sha256:370f089661fe65c43557f2e857bb5bdeb660d17151192a66e840361910c782e1

Observation e1a94fed-cb19-4f7d-a42a-1299e7b40dba · outbound

This paper cites Image-level memorization detection via inversion-based inference perturbation.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Image-level memorization detection via inversion-based inference perturbation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:41.247560Z

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.

source=pdf_text observed=2026-08-06T04:28:27.015425Z digest=sha256:463bfd811b3e05fe51e2a53b1687c1adcf8c5f0189010d9bedc295d8b61d053d

Observation eb767e40-337f-4c07-a92c-7664dac5d22a · outbound

This paper cites Hunyuanvideo: A systematic framework for large video generative models.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Hunyuanvideo: A systematic framework for large video generative models.����� �������� ����������������, 2024

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:41.105750Z

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.

source=pdf_text observed=2026-08-06T04:28:27.078898Z digest=sha256:7bcadb870c8f9787f87accfdb7be989d995218078453d79dd88f1c883ef92d97

Observation eddd5ff5-ba7e-4f85-bc55-282a1754e69f · outbound

This paper cites Leveraging vision-language models to select trustworthy super-resolution samples generated by diffusion models.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Leveraging vision-language models to select trustworthy super-resolution samples generated by diffusion models.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:40.874283Z

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.

source=pdf_text observed=2026-08-06T04:28:27.199397Z digest=sha256:dbad0263a5dedc06d43e31a4a0989b7e73bf4da85ce5b27de1f5241e498dc2e1

Observation c2914fcc-fd1a-4896-b24c-7a4409773d00 · outbound

This paper cites Flux.�����������������������������������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Flux.�����������������������������������������, 2024

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:27.265405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:27.265405Z digest=sha256:e4e0acc6fcce937b41fa24d7cf1bbc9589001f4e93f839f97df0c605ef02f226

Observation 8e065ae0-1bf3-4278-830d-2d0e39c45484 · outbound

This paper cites Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Playground v2.5: Three insights towards enhancing aesthetic quality in text-to-image generation, 2024

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T04:28:27.358380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:28:27.358380Z digest=sha256:c0ef7755b0bfaab4171784c45d71ed2d4dacd305ab1e60075f12aa93fe10c474

Observation aa5868ac-6b45-4645-90e7-8909acce614e · outbound

This paper cites Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Svdquant: Absorbing outliers by low-rank components for 4-bit diffusion models.����� �������� ����������������, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:40.701425Z

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.

source=pdf_text observed=2026-08-06T04:28:27.518712Z digest=sha256:f834b60ed0fa0c06276754904adf6234ba6fe18e64cb47fd717a382c7798bfa1

Observation 4d1e65e0-09d7-4b89-8bab-52470579c1fb · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Q-diffusion: Quantizing diffusion models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:40.486980Z

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.

source=pdf_text observed=2026-08-06T04:28:27.640845Z digest=sha256:a1bebc8e3c5b67c365e156b2c73c999ed56ab2ba2f8de5573a6da1eded9ee6c2

Observation 1f9590da-fe99-40e8-bc45-1846e1605c5f · outbound

This paper cites Repq-vit: Scale reparameterization for post-training quantization of vision transformers.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Repq-vit: Scale reparameterization for post-training quantization of vision transformers

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:40.306024Z

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.

source=pdf_text observed=2026-08-06T04:28:27.760907Z digest=sha256:29bd4db5ac4ee54e14fe6d4d77fc08a13f752f013d18f17226cfa6f411d07637

Observation 28e583b9-0fde-4200-9dcb-063b9b5ffbc7 · outbound

This paper cites Dvd-quant: Data-free video diffusion transformers quantization.����� �������� ����������������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Dvd-quant: Data-free video diffusion transformers quantization.����� �������� ����������������, 2025

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:40.118802Z

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.

source=pdf_text observed=2026-08-06T04:28:27.877655Z digest=sha256:8b164ffd560b7b6bdd7ded48bed9fc4e7ea553109389c529438db6f06335e662

Observation 104aaebc-dc24-4ec8-9048-e2631b6ff120 · outbound

This paper cites Mope-clip: Structured pruning for efficient vision-language models with module-wise pruning error metric.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Mope-clip: Structured pruning for efficient vision-language models with module-wise pruning error metric

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:39.784801Z

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.

source=pdf_text observed=2026-08-06T04:28:27.960647Z digest=sha256:1fb67499662d71a481d0ab2a82f1693e9c74e6cc838f88f110df400be7342ccd

Observation 8c0f43e3-fa87-4953-88ac-fa91e5cdb583 · outbound

This paper cites Duquant: Distributing outliers via dual transformation makes stronger quantized llms.�������� �� ������ ����������� ���������� �������, 37:87766–87800, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Duquant: Distributing outliers via dual transformation makes stronger quantized llms.�������� �� ������ ����������� ���������� �������, 37:87766–87800, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:39.460825Z

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.

source=pdf_text observed=2026-08-06T04:28:28.087850Z digest=sha256:d5758944b8d00b83772be960d7b177d9b54f814054684d2719b2611b3f4bb80e

Observation 7891f798-06dd-4919-9b28-412896ab1ee6 · outbound

This paper cites Toklip: Marry visual tokens to clip for multimodal comprehension and generation.����� �������� ����������������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Toklip: Marry visual tokens to clip for multimodal comprehension and generation.����� �������� ����������������, 2025

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:39.162907Z

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.

source=pdf_text observed=2026-08-06T04:28:28.207223Z digest=sha256:f192304784f4659c3fdad318fe4567116882e46884fcfc002d68f91a188ab919

Observation 679a1249-1143-42a0-8b83-f1d90b0c11b9 · outbound

This paper cites Fq-vit: Post-training quantization for fully quantized vision transformer.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Fq-vit: Post-training quantization for fully quantized vision transformer

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:38.942246Z

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.

source=pdf_text observed=2026-08-06T04:28:28.382486Z digest=sha256:c34b481022f72653905ba07f4e6aaff95f907b28118e2a77763960f3e287b530

Observation be007eeb-6191-4aec-a575-9e49740f7387 · outbound

This paper cites Intactkv: Improving large language model quantization by keeping pivot tokens intact.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Intactkv: Improving large language model quantization by keeping pivot tokens intact.����� �������� ����������������, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:38.712127Z

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.

source=pdf_text observed=2026-08-06T04:28:28.470411Z digest=sha256:f527b12856f499b07346ce01635f986419a1aeb8c1f711057bfef24fc1bb29ff

Observation 2a4fdfc0-1b37-45d4-9c3c-e47918b0724b · outbound

This paper cites Diffvein: A unified diffusion network for finger vein segmentation and authentication.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Diffvein: A unified diffusion network for finger vein segmentation and authentication.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:38.497555Z

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.

source=pdf_text observed=2026-08-06T04:28:28.570977Z digest=sha256:bd406c4698cc900ca90c2017bb8b9a125c009aa14303ec44d429e594be6700a6

Observation 81ba371f-9689-43f3-aadc-1ea57842ba32 · outbound

This paper cites Sora: A review on background, technology, limitations, and opportunities of large vision models.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Sora: A review on background, technology, limitations, and opportunities of large vision models.����� �������� ����������������, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:38.151365Z

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.

source=pdf_text observed=2026-08-06T04:28:28.640156Z digest=sha256:853f9d1bb56d260c38271703312b990a4f598c749f2d2a9e842e7564189c9d72

Observation 4b3325ca-cc38-434d-b0c5-5e10ab51d4c6 · outbound

This paper cites Spinquant: Llm quantization with learned rotations.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Spinquant: Llm quantization with learned rotations.����� �������� ����������������, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:37.878062Z

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.

source=pdf_text observed=2026-08-06T04:28:28.725937Z digest=sha256:d6203b44c3cab2ec182cf0d7036f4fe1c6176f0ba3c97c1f790a9c7487defd03

Observation d1ea662c-5ecc-413f-a667-655da6edf4e1 · outbound

This paper cites Latte: Latent diffusion transformer for video generation.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Latte: Latent diffusion transformer for video generation.����� �������� ����������������, 2024

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:37.610421Z

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.

source=pdf_text observed=2026-08-06T04:28:28.793479Z digest=sha256:1b7edc53ebf4a6b83131774f20b73e583cc5a615b56709df980852e1c08d6547

Observation fa97fc92-b400-4b36-93c9-2f365a52676f · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.����� �������� ����������������, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Sdxl: Improving latent diffusion models for high-resolution image synthesis.����� �������� ����������������, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:37.350291Z

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.

source=pdf_text observed=2026-08-06T04:28:28.859054Z digest=sha256:6f51c052884237074258d52bb45054631a66b7949617de3b7ed9bca737389838

Observation 6321135a-9078-4678-9837-c33062db30e9 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes High- resolution image synthesis with latent diffusion models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:37.141611Z

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.

source=pdf_text observed=2026-08-06T04:28:28.921881Z digest=sha256:87bab5328bb6862e011692b09e59c1f10354eb66e97c45ed5a6b2d251a915228

Observation 0b7703fc-840d-4bfa-b5d1-8b8062b6a1f1 · outbound

This paper cites Post-training quantization on diffusion models.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Post-training quantization on diffusion models

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:36.971413Z

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.

source=pdf_text observed=2026-08-06T04:28:29.010555Z digest=sha256:f4280975fb9457a5b38e45cec07735e2d11e98f6d8af0caf595d7d66cb5c0d60

Observation 9f6e72b0-dac7-4052-a712-a7857126a964 · outbound

This paper cites Omniquant: Omnidirectionally calibrated quantiza- tion for large language models.����� �������� ����������������, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Omniquant: Omnidirectionally calibrated quantiza- tion for large language models.����� �������� ����������������, 2023

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:36.809891Z

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.

source=pdf_text observed=2026-08-06T04:28:29.078494Z digest=sha256:4c2e7ab4af71db3c3c5e08d20d2f869537ea5df7b45d7b9806b2e243ccdd374f

Observation de081f1f-c7c7-4df3-8703-fd04d1e1cb2d · outbound

This paper cites Exploring pruning-based efficient object tracking via hybrid knowledge distillation.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Exploring pruning-based efficient object tracking via hybrid knowledge distillation.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:36.642260Z

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.

source=pdf_text observed=2026-08-06T04:28:29.159380Z digest=sha256:483cb28cd31b9561590852b8346d636edf319f369136381b3df570a58e83a514

Observation 3520a81d-fa50-4685-b29e-2dbb46802b93 · outbound

This paper cites Massive activations in large language models.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Massive activations in large language models.����� �������� ����������������, 2024

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:36.524351Z

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.

source=pdf_text observed=2026-08-06T04:28:29.309111Z digest=sha256:3cc089985cf3d3ab01cbd0f5d6a760354dd13de703ba1f2039f35a376cc53810

Observation 413c540e-af99-4a3e-92c1-6a68364dacc6 · outbound

This paper cites Quip#: Even better llm quantization with hadamard incoherence and lattice codebooks.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Quip#: Even better llm quantization with hadamard incoherence and lattice codebooks.����� �������� ����������������, 2024

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:36.312969Z

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.

source=pdf_text observed=2026-08-06T04:28:29.430674Z digest=sha256:96ab3760b49be3388504e22f0df13bf51099405e10a1217afc436e6342c2b26c

Observation 146e1d9b-ae7f-4a87-af6f-549f984dc775 · outbound

This paper cites A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:36.068858Z

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.

source=pdf_text observed=2026-08-06T04:28:29.574214Z digest=sha256:de3ef8190d36676a8be39e694f4130d7a6eb20ea53b901503b218fe301d16d70

Observation c87b1d38-39a3-45f2-b71d-a322ccf19382 · outbound

This paper cites Wan: Open and advanced large-scale video generative models.����� �������� ����������������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Wan: Open and advanced large-scale video generative models.����� �������� ����������������, 2025

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.850570Z

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.

source=pdf_text observed=2026-08-06T04:28:29.689115Z digest=sha256:4489497d40834d358445bc0d24e1fcd26fd0fbc942ad32c849a04fbdc53afa8d

Observation a06107a6-00cc-4575-a3de-fc2e35169c14 · outbound

This paper cites Quest: Low-bit diffusion model quantization via efficient selective finetuning.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Quest: Low-bit diffusion model quantization via efficient selective finetuning.����� �������� ����������������, 2024

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.724654Z

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.

source=pdf_text observed=2026-08-06T04:28:29.831411Z digest=sha256:949559364fb4e105e6eb3cdf67cadb701827ffabd3da0b6e1490b897963a36d2

Observation 79c1bf9c-5924-4950-869a-db2d0ba9b0f5 · outbound

This paper cites Ptq4dit: Post-training quantization for diffusion transformers.�������� �� ������ ����������� ���������� �������, 37: 62732–62755, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Ptq4dit: Post-training quantization for diffusion transformers.�������� �� ������ ����������� ���������� �������, 37: 62732–62755, 2024

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.631366Z

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.

source=pdf_text observed=2026-08-06T04:28:29.893334Z digest=sha256:bcc65724aea5e0fe3a15df87c66bd1cdae610e9a53abcfee8b7fdb25db06410f

Observation 28c81855-1135-40fc-b899-bfc31bf6a339 · outbound

This paper cites Adalog: Post- training quantization for vision transformers with adaptive logarithm quantizer.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Adalog: Post- training quantization for vision transformers with adaptive logarithm quantizer

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.524176Z

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.

source=pdf_text observed=2026-08-06T04:28:30.018199Z digest=sha256:51721abe4299a9942e40e53bfb444b21604a04179bfbc61ebfd53c42d6f78b58

Observation 1b089689-a74f-4e53-a3e8-895ef3fadae0 · outbound

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

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Smoothquant: Accurate and efficient post-training quantization for large language models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.414832Z

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.

source=pdf_text observed=2026-08-06T04:28:30.163516Z digest=sha256:dfc0a04013b9511a41ef097a1ae8b9075d15e63a56fb9018a2877202f2f49298

Observation ea5f0ed1-f12c-4c1c-9253-d2179aae3d46 · outbound

This paper cites Patch-wise mixed-precision quantization of vision transformer.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Patch-wise mixed-precision quantization of vision transformer

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.325118Z

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.

source=pdf_text observed=2026-08-06T04:28:30.287353Z digest=sha256:d47797999861669cbdbc799399664fe53f19bfe156d23971eb4ac95056f2423f

Observation fd01dced-3508-4f33-ae50-a4ad3f849d33 · outbound

This paper cites Binaryvit: Towards efficient and accurate binary vision transformers.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Binaryvit: Towards efficient and accurate binary vision transformers.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:35.173978Z

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.

source=pdf_text observed=2026-08-06T04:28:30.406500Z digest=sha256:1e9b77ae2e16ff425d1d92c7c53b9de833e36020a7eb77e3177e1bbdca005f9b

Observation 40a14a7d-9701-425c-9d36-5dc652def724 · outbound

This paper cites Ttaq: Towards stable post-training quantization in continuous domain adaptation.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Ttaq: Towards stable post-training quantization in continuous domain adaptation.����� �������� ����������������, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.999146Z

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.

source=pdf_text observed=2026-08-06T04:28:30.520538Z digest=sha256:60aed80fc6e142df0212568cb84a5c05c237d74a5b2f68c416b5790674681231

Observation 106bcc50-67dc-4bf9-aacf-2920f6cca852 · outbound

This paper cites Sana: Efficient high-resolution image synthesis with linear diffusion transformers.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Sana: Efficient high-resolution image synthesis with linear diffusion transformers.����� �������� ����������������, 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.885712Z

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.

source=pdf_text observed=2026-08-06T04:28:30.620241Z digest=sha256:d4b0fff552db352ac05c5cfb30819871852c1904344c68248e8ed29443b66dc0

Observation d597d27a-23fd-4f16-aa0c-5c6bc1587a5b · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.723520Z

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.

source=pdf_text observed=2026-08-06T04:28:30.701529Z digest=sha256:9c2993e601d1b990e6c609ecfa9dd48fcc6ded0eee1e93ae9b6f7bee9abf4c97

Observation ac899b1c-1085-4d6c-8526-10505aa4a2dd · outbound

This paper cites Improving extreme low-bit quantization with soft threshold.���� ������������ �� �������� ��� ������� ��� ����� ����������, 33(4):1549–1563, 2022.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Improving extreme low-bit quantization with soft threshold.���� ������������ �� �������� ��� ������� ��� ����� ����������, 33(4):1549–1563, 2022

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.590783Z

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.

source=pdf_text observed=2026-08-06T04:28:30.791439Z digest=sha256:fcf821a8ef7bf3d33204d86cf5b0c019a925d2ef3a9aed176d35a382f43f743b

Observation e86122da-74fc-402b-96c2-b64fe827fd2e · outbound

This paper cites Dopq-vit: Towards distribution-friendly and outlier-aware post-training quantization for vision transform- ers.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Dopq-vit: Towards distribution-friendly and outlier-aware post-training quantization for vision transform- ers.����� �������� ����������������, 2024

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.516734Z

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.

source=pdf_text observed=2026-08-06T04:28:30.859582Z digest=sha256:2e45cf00f83a5b6962647e3527a77f57d2e48fdb87d079d34cf2948cdbbd9366

Observation 0fca38bd-4466-47b1-8ab6-f315ca572d44 · outbound

This paper cites Mgrq: Post-training quantization for vision transformer with mixed granularity reconstruction.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Mgrq: Post-training quantization for vision transformer with mixed granularity reconstruction.����� �������� ����������������, 2024

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.368584Z

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.

source=pdf_text observed=2026-08-06T04:28:30.949695Z digest=sha256:147d9eb72486238efcce2426a470fef1e406f18707b43d22ff14d9a3d4242dd5

Observation b837250f-dabc-41f6-9af8-a88ea1ce46ce · outbound

This paper cites Cogvideox: Text-to-video diffusion models with an expert transformer.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Cogvideox: Text-to-video diffusion models with an expert transformer.����� �������� ����������������, 2024

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.215360Z

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.

source=pdf_text observed=2026-08-06T04:28:31.051200Z digest=sha256:c4b0d34d500343d55d69f88f5ad32882b0d22177a886424a8940bec10305d3a3

Observation 36670c31-b271-40ad-bb11-3a3637e9a226 · outbound

This paper cites Zeroquant: Efficient and affordable post-training quantization for large-scale transformers.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Zeroquant: Efficient and affordable post-training quantization for large-scale transformers

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:34.074865Z

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.

source=pdf_text observed=2026-08-06T04:28:31.144770Z digest=sha256:963c76e7269a17620aad925361745c7d21348e0cc3987f0e860579d5269d558b

Observation 30197faf-f1f7-4d8f-bfa1-393c8aacd5f2 · outbound

This paper cites Diff-transformer: Heterogeneous feature fusion network for multisource remote sensing classification.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Diff-transformer: Heterogeneous feature fusion network for multisource remote sensing classification.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:33.898391Z

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.

source=pdf_text observed=2026-08-06T04:28:31.211787Z digest=sha256:6b5a38cc074e8abc4272ce0ac7d887e19e8ca137a81173157169c4b488acc8d4

Observation a41b1f11-cf8f-4164-bad4-f171a1248b66 · outbound

This paper cites Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Ptq4vit: Post-training quantization for vision transformers with twin uniform quantization

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:33.781300Z

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.

source=pdf_text observed=2026-08-06T04:28:31.267404Z digest=sha256:7ae8f0087b3f9ea783b34a16535a123135b16d0888d424b5eb4109e2587203de

Observation 178f01e2-e1a0-4b97-960c-c6a3cf4946b4 · outbound

This paper cites Spatial-spectral aggregation transformer with diffusion prior for hyperspectral image super-resolution.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Spatial-spectral aggregation transformer with diffusion prior for hyperspectral image super-resolution.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2024

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:33.542466Z

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.

source=pdf_text observed=2026-08-06T04:28:31.333679Z digest=sha256:7f9af8e420a0a34ab0a8d118f55e4bd753d946898a56dc8dfbd32f499608076e

Observation d22a25ad-cc68-4d74-ae18-36893336a91a · outbound

This paper cites Tvg: A training-free transition video generation method with diffusion models.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Tvg: A training-free transition video generation method with diffusion models.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:33.352013Z

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.

source=pdf_text observed=2026-08-06T04:28:31.397045Z digest=sha256:e3d35b54dfea0c31216af87397ccdb434296890fbe4327c8856d5431e940dfc3

Observation b4284072-0e48-4c40-8ba6-681227dfab6f · outbound

This paper cites Dfmc: feature-driven data-free knowledge distillation.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Dfmc: feature-driven data-free knowledge distillation.���� ������������ �� �������� ��� ������� ��� ����� ����������, 2025

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:33.209865Z

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.

source=pdf_text observed=2026-08-06T04:28:31.547837Z digest=sha256:316cfc4091798c9c0a39f035b46338bd1f318e992df9d5b6279df2f2f0bb3ede

Observation 91e989a6-e2b6-4450-a3e1-e4aecb3271c9 · outbound

This paper cites Exploiting channel similarity for network pruning.���� ������������ �� �������� ��� ������� ��� ����� ����������, 33(9):5049–5061, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Exploiting channel similarity for network pruning.���� ������������ �� �������� ��� ������� ��� ����� ����������, 33(9):5049–5061, 2023

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:33.017386Z

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.

source=pdf_text observed=2026-08-06T04:28:31.671995Z digest=sha256:02d8baac5bb43f263abb13d0d9210eedfafb24b95555e1f35fe209c9f305fb69

Observation a298dbf3-8c24-447c-a037-1560ebcc9f90 · outbound

This paper cites Vidit-q: Efficient and accu- rate quantization of diffusion transformers for image and video generation.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Vidit-q: Efficient and accu- rate quantization of diffusion transformers for image and video generation.����� �������� ����������������, 2024

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:32.828313Z

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.

source=pdf_text observed=2026-08-06T04:28:31.831212Z digest=sha256:73d7c281067bf0143ad93a513d9e438510d5f21bf90f474c66650d3da96567dc

Observation 3db49f2d-4dc9-49b6-8b29-326847472f2d · outbound

This paper cites Open-sora: Democratizing efficient video production for all.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Open-sora: Democratizing efficient video production for all

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:32.543478Z

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.

source=pdf_text observed=2026-08-06T04:28:31.917684Z digest=sha256:f728af699570db19a2039ec784ef718bd0ac8db3d54e0e9053b9b4cb3c553abb

Observation a32b34a1-472e-42e4-b840-2c43703e6a25 · outbound

This paper cites I&s-vit: An inclusive & stable method for pushing the limit of post-training vits quantization.����� �������� ����������������, 2023.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes I&s-vit: An inclusive & stable method for pushing the limit of post-training vits quantization.����� �������� ����������������, 2023

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:32.371650Z

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.

source=pdf_text observed=2026-08-06T04:28:31.980850Z digest=sha256:235660e2784fdfeee0736e12fe92f585fdcade92610015ecfd495fb0161945ef

Observation 67fdf6c8-ed68-4345-b9f2-478e35280190 · outbound

This paper cites Doge: Towards versatile visual document grounding and referring.����� �������� ����������������, 2024.

Semantic-aware Graph-guided Behavior Sequences Generation with Large Language Models for Smart Homes Doge: Towards versatile visual document grounding and referring.����� �������� ����������������, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T04:28:32.229047Z

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.

source=pdf_text observed=2026-08-06T04:28:32.075846Z digest=sha256:809e80499645be51d8d602b712eedecb5b2abb49a6aecf2e5cecdacbb1ff27c4

Pith citing papers

No inbound Pith citation observations are available.