Pith. sign in

Paper Citation Record · LEDGER

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 5 inbound Pith citation observations for arXiv:2503.09158.

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

pith.paper-citation-record.v1
2503.09158 v6

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T00:21:51.621582Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:24:53.517329Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T06:03:59.353915Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact22
  • verified fuzzy11
  • unresolved3
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe585dc7-9c0b-4d92-9e1e-a4bd2b0b919e · outbound

This paper cites Qwen3-VL Technical Report.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Qwen3-VL Technical Report

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T00:22:18.787000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:bab6cd5f6d072c9f3b60ac2c48767bf995b39c403f2653e0676816d6e9329369

Observation 01f34696-6116-44fc-b16b-5baddfcc56ba · outbound

This paper cites Facial Expression Recognition Based on Complexity Perception Classification Algorithm.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Facial Expression Recognition Based on Complexity Perception Classification Algorithm

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.712213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:79439216ecfa94d87445071e9fc433f61bcef7209175bccc5d9cdc9778ef8ccd

Observation 5c1cbf82-e86f-49b6-920d-99ca1a3c9ce8 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T00:22:18.766937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:d4cd182566a05dfa595c40e8d6a66ff7801a1ef6d45b4490a891100b2b9d17cc

Observation df2f04e3-34b3-448a-8c61-554adf072c81 · outbound

This paper cites Angarano, M.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Angarano, M

Reference 4

Resolution
verified exact
doi, observed 2026-05-23T00:22:17.987800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:e9729e8edc182100056f65709f26ab71ec455e30b569e388730b124d7f9f5b28

Observation ec353264-939f-40ef-af28-3dbbe126e10f · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.777189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:f208016bb9f13311cb9784fe58e23958c955b1d69a80c046245e972a320edca6

Observation 35165ca8-d2ec-4554-95ea-87583becc981 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.727457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:0af0a516023eb7a8b76dfc851355727d3d464fb169b5137ebd538c66980fa344

Observation 031df850-c284-4e32-9c2f-977d3e3fbaff · outbound

This paper cites GPT-4o System Card.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO GPT-4o System Card

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-23T00:22:18.707541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:44717cae3930128b718fadb64bf2673fb001fcad8e8235e7c2fa4207df1fedaf

Observation 37fcc567-e408-4830-b985-deb0766b5266 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO LLaVA-OneVision: Easy Visual Task Transfer

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.751954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:b4934b1071fee2ced332dc7a199a80dca10321d7fc00ee82d899a781757ac64e

Observation c71034fd-077f-4007-a757-d013681e7fcf · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.702592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:36c723ca576a520b24c25360d8f8cac3cc1fdae04f03651ec3a214420b9c8efc

Observation 33b12091-0a6f-405e-be84-621e23c885c5 · outbound

This paper cites Understanding R1-Zero-Like Training: A Critical Perspective.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Understanding R1-Zero-Like Training: A Critical Perspective

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.782179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:173ba3fa5685780e21fff3729b1d2246fb29129284a529f02e529cae460ac53a

Observation 08271f24-be62-4741-8711-197e91098711 · outbound

This paper cites Valley: Video Assistant with Large Language model Enhanced abilitY.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Valley: Video Assistant with Large Language model Enhanced abilitY

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:18.746828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:c63faca72232d0482c0e6415a6e9f275554031dc5b5f44218b21f1b449673291

Observation e16ea5c9-ee3c-424d-bcab-23f5c894bfdb · outbound

This paper cites Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:18.717816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:4e7f153ad9c3e8ddcf85808047af6e26aae9c382d90cc2216e23b161bc236d78

Observation a0c22fd6-777a-48b8-83ec-dab2df69cca1 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.791564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:a79f49ce2358a6dbe86829c4cebc8a1b79ba6610ef419962ec7d536e8083bb57

Observation 82c147ad-0894-4e09-8eb2-ebdd49fb9c34 · outbound

This paper cites FaceXFormer: A Unified Transformer for Facial Analysis.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO FaceXFormer: A Unified Transformer for Facial Analysis

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:18.722641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:40e0ab623d4575122334c6902bf2e31324e0753c546dd829d551d9eb9bacef1a

Observation ace2587e-ff42-4e1c-988c-9c93c362e5f8 · outbound

This paper cites URL http://dx.doi.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO URL http://dx.doi

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:17.961958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:e87641b43e5e9490224f24e51122e2f163e31938bb495f5ea459cb79354fb79e

Observation 8ec07407-5619-4eba-ba08-fa301fe2e6b2 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.732580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:11d778eee2fd9099b8e2fe2dde7d431441463ccae1683467c581bcea6a8ab79d

Observation a676eda1-87d5-41c2-ab97-1b05723ab799 · outbound

This paper cites Learning spatial-semantic relationship for fa- cial attribute recognition with limited labeled data.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Learning spatial-semantic relationship for fa- cial attribute recognition with limited labeled data

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.159055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:7c6081ed3c8a8eeca31dfbdfae47ec255ee4f98fb199649e52e66b4377b80491

Observation ab87a8ac-6219-4190-9218-00def8e61e8e · outbound

This paper cites Derf: Decomposed radiance fields.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Derf: Decomposed radiance fields

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T00:22:17.975675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:6b0494e05f4fdd584be100bfb56b087dc2e457e02e328e1c2a039cc70dd488b7

Observation 5209f0be-d3b3-4e84-81b6-6a7cf5332ef1 · outbound

This paper cites PandaGPT: One Model To Instruction-Follow Them All.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO PandaGPT: One Model To Instruction-Follow Them All

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.737331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:dbbadf402f210275901848f5b5c340eb1f4eb71ac2ada25802d502132361ce3d

Observation dc692f8b-f14b-4b5e-aed9-a7d7fff1ba22 · outbound

This paper cites Face-MLLM: A Large Face Perception Model.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Face-MLLM: A Large Face Perception Model

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:18.762476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:5f32070edec332f9462345fd2c3ab946a00fed8ef41c28080195dce532e6154e

Observation f4f709c2-0101-40fc-85ee-23962ee50f9c · outbound

This paper cites Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer

Reference 21

Resolution
verified exact
doi, observed 2026-05-23T00:22:17.982626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:d1726c70360d435c0726b8d4ff96856869fe154e5f28a0fcce9425bf904e7c5d

Observation 4ab522f9-680a-48bc-8d5b-65f4d8424b66 · outbound

This paper cites S., Guo, A., Oler, E., Wang, F., Anjum, A., Peters, H., Dizon, R., Sayeeda, Z., Tian, S., Lee, B.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO S., Guo, A., Oler, E., Wang, F., Anjum, A., Peters, H., Dizon, R., Sayeeda, Z., Tian, S., Lee, B

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.166183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:1b74fc1f135d4f82ca621f438845c9911c42fbc3b2ef50f6ab101052de4238d3

Observation f6f284ad-0e76-43fa-8955-5a921396271f · outbound

This paper cites Face recognition in unconstrained videos with matched background similar- ity.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Face recognition in unconstrained videos with matched background similar- ity

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:17.933334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:4b7aa678a54cf99726c066522f86d1918d06bf37f66230bcaa02905efa660ec6

Observation 224e6e15-0cac-48e6-9fb1-bb45a87e95e1 · outbound

This paper cites Qwen2 Technical Report.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Qwen2 Technical Report

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.741868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:2bcb939139e2021e3be3f1c8c0873d3d16f50a0bc26b86551db56ad5b6b029f5

Observation f2854fe9-85b8-4649-bfe8-acefb36cb00d · outbound

This paper cites Qwen3 Technical Report.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Qwen3 Technical Report

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.757044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:1af3976d95611519f9cab9c303a1e8bde16b6dc08a966a9982cbbb3654da2e94

Observation 76b44318-c068-4173-8ce1-689b9f5c4482 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-23T00:22:18.771685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:f8d4c6d854e789b8311f81a3199c59c41baa3a88791db38af85c29e5bd27a335

Observation f3fef310-12ad-4acf-b251-e60ba94ac4d7 · outbound

This paper cites an unresolved cited work.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Unresolved cited work

Reference 27

Resolution
verified exact
doi, observed 2026-05-23T00:22:17.954471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:36f42157725277d72741df5d0ac44cb9b40e07c954d2f423bb248542b5701309

Observation 9ba63ce5-3dbf-4d8c-90ca-ef657731fb73 · outbound

This paper cites Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-23T00:22:18.796437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:17bd7caed74db255efcf38f825440d4561b967856b01c31b402d773e7c6310d5

Observation 41469856-50ef-4e0d-9222-bc187d299f37 · outbound

This paper cites General facial representation learning in a visual-linguistic manner.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO General facial representation learning in a visual-linguistic manner

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.169888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:321b5541764bda64bf9ba3a24083b804bf4d23dc3a9208202f0f805c703062c8

Observation a92a8058-ecf9-4e3a-ade1-13f2839953a8 · outbound

This paper cites A ConvNet for the 2020s.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO A ConvNet for the 2020s

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T00:22:17.948617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:b14312e40d53b5bdb9e55500061776add0dc1f81cab71b40426c1926961423db

Observation 60bd7986-7a4d-4878-a98e-2d44974cc5e0 · outbound

This paper cites Related Works The rapid advancement of multimodal large language models (MLLMs) has spurred the emergence of Video-MLLMs.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Related Works The rapid advancement of multimodal large language models (MLLMs) has spurred the emergence of Video-MLLMs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.185281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:edcbfd65867899311a60e34e6f29b84bb2ec25a55f2d347d8f39b978f17e0b30

Observation 4e3d5f2f-3faa-4525-9618-2fc97b0b4ec7 · outbound

This paper cites However, these strategies often sacrifice fine-grained features particularly in domains with rich and intricate details such as human faces.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO However, these strategies often sacrifice fine-grained features particularly in domains with rich and intricate details such as human faces

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.151277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:5c9f344034d0cd66970e45fc51750da5df9efbc7a656e031eda3141ea938ed6a

Observation 0ec96c55-2102-4150-9304-34cc1e4c89ab · outbound

This paper cites Below is a more comprehensive discussion of related work.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Below is a more comprehensive discussion of related work

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.173681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:8eb25ac988fd36ab901de6d5a2a374a6757bbd8b9959eecc49fa27b93cadfafc

Observation 900d9b40-7ecd-4861-9b87-32d6eea89963 · outbound

This paper cites an unresolved cited work.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-05-23T00:22:19.200007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:fa7c8443b362b5507f7222bf72a16474c611f09930cb4729a343bd4ea70b2f2f

Observation f85de838-d3a3-444c-b787-7c368ee82f14 · outbound

This paper cites However, treating videos merely as sequences of images overlooks the temporal characteristics of videos.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO However, treating videos merely as sequences of images overlooks the temporal characteristics of videos

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.147497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:d6ecf8f56ebfcd7d1a46e903f257416f4e4f33b4f1cce3afdceec555222afd21

Observation 65f54d02-4e37-4d5f-836a-51a295e47335 · outbound

This paper cites Hair": "red, curly.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Hair": "red, curly

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.193964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:3f75c5eadbde43f5ffe32fa056f1cb8bfc84128b3a5efa4930c248463aa1baa0

Observation 61ab8367-526f-42ad-9dc3-87df94d913b9 · outbound

This paper cites an unresolved cited work.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-23T00:22:19.196893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:c64f5f1224d08f4f140a5d9708f50e3b09c147295a0a474f54fb940797ec4400

Observation 1a12a386-4d28-4cbc-9f45-8f2a0c8d1466 · outbound

This paper cites face-centric.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO face-centric

Reference 38

Resolution
malformed identifier
raw_fallback, observed 2026-05-23T00:22:19.162705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:611abfc75c09e1437210f5eedd8300da6f86bcb9ba1bcfceda9a9e68e9c95de5

Observation c585fba6-a6dc-4a99-bba2-4bedce21c1e0 · outbound

This paper cites an unresolved cited work.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-05-23T00:22:19.190481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:8d8bba7a45708e5e6a217385714902df13ba6c042a06457c1ae0b0a1a7f4c087

Observation 234d4352-c2d7-4657-8051-73745336ef7e · outbound

This paper cites Specifically, given the detailed video attributes of CelebV-HQ, we have incorporated all 35,666 video from CelebV-HQ.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO Specifically, given the detailed video attributes of CelebV-HQ, we have incorporated all 35,666 video from CelebV-HQ

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.154714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:e62687b06f60e2031f87f04242de01330f8a0bb4b43ac565b0ef184620e765ba

Observation c4b58162-9a7a-4b86-88d0-a78dd4f2922d · outbound

This paper cites The raw video frames are down sample by 16 to obtain a shorter frame sequence.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO The raw video frames are down sample by 16 to obtain a shorter frame sequence

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.143773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:276bf9d1e8500cfc55606af9f5d8da70f5ad043ec6437b1effcdb78ec8ad0b9b

Observation 1ea43f0b-2c7f-4d13-b40a-dded5998c360 · outbound

This paper cites 18 Preprint Table 7.Performance comparison on the DFEC (Zhao et al., 2025a) dataset for textual emotion analysis.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO 18 Preprint Table 7.Performance comparison on the DFEC (Zhao et al., 2025a) dataset for textual emotion analysis

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-23T00:22:19.136351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:fa7d3289b134fa8a7eb2022bffacc885870d6500f54e2966321f455b8877aba9

Observation b5d4f88b-b0bc-433e-aece-485f3feba32f · outbound

This paper cites The YouTube Faces dataset is well suited for this setting, as it contains multiple videos per person under diverse conditions.

FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO The YouTube Faces dataset is well suited for this setting, as it contains multiple videos per person under diverse conditions

Reference 43

Resolution
malformed identifier
raw_fallback, observed 2026-05-23T00:22:19.139948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-23T00:21:51.621582Z digest=sha256:58bc7afba6abaccca4bc1063c645244b48fd091dedd9a2efc0759e210440a0ec

Pith citing papers

Observation 5ba5cb33-6382-473c-8040-56583ae8d228 · inbound

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients cites this paper.

EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T05:36:10.277122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:36:10.277122Z digest=sha256:4080c81ade376feed5aa2978bbb8153898ece27d0f24741291607ea8c8d68d5f

Observation cbd471f6-cbb9-4ff3-a666-acbf55b4a1f4 · inbound

FaceInsight: A Multimodal Large Language Model for Face Perception cites this paper.

FaceInsight: A Multimodal Large Language Model for Face Perception FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:53.517329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:24:53.517329Z digest=sha256:4d7d351accddc37a19e8c63bb2d99261768a025d19f3b28d6895986208c4672e

Observation 4b85df83-b079-4313-8381-bdabb0b5a682 · inbound

Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using H\"older Divergence and Mutual Information-Enhanced Knowledge Transfer cites this paper.

Robust Brain Tumor Segmentation with Incomplete MRI Modalities Using H\"older Divergence and Mutual Information-Enhanced Knowledge Transfer FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:34.055384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:03:34.055384Z digest=sha256:f3e660d6bbbc1fe171c799fd1f63cd263620338baf11dc4f8a176e3eec09f1e8

Observation 5bf708bb-aadd-4262-9815-5ed15dfed5ce · inbound

Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures cites this paper.

Uncertainty Quantification for Incomplete Multi-View Data Using Divergence Measures FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:16.921127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:16.921127Z digest=sha256:92cad74536521e04723c562a9641bd4311512db5ed88dbfb3468e4b1aa053191

Observation 2ef1deac-e59c-44f8-9962-3f0b3929dc36 · inbound

Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust? cites this paper.

Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust? FaVChat: Hierarchical Prompt-Query Guided Facial Video Understanding with Data-Efficient GRPO

Reference 59

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T06:03:59.355420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-21T06:00:36.382942Z digest=sha256:85b8e8522c179cd0d13b14203c89eda6da9c7c235ce190ab9e76719c5dde16da