Paper Citation Record · LEDGER

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2507.21161.

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

pith.paper-citation-record.v1
2507.21161 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:07:42.779884Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

19 of 19 outbound references displayed

verified exact1
verified fuzzy10
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9aa94afd-b4bb-41f9-a00a-b0d21603b093 · outbound

This paper cites an unresolved cited work.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:07:43.222436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f71bc149-f084-4425-aa0f-4c289a64c7dc · outbound

This paper cites Do they want to cross? understanding pedestrian intention for behavior prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Do they want to cross? understanding pedestrian intention for behavior prediction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.194599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2c1b9d46-d26d-4580-8608-ebde7765537c · outbound

This paper cites Long-term on-board prediction of people in traffic scenes under uncertainty.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Long-term on-board prediction of people in traffic scenes under uncertainty

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.170587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b9b77231-fafb-471f-98f2-5c240693665c · outbound

This paper cites Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:42.699578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeca8c1e-a786-4016-b8ff-dd6a97a751c7 · outbound

This paper cites Pedestrian graph +: A fast pedestrian crossing prediction model based on graph convolutional networks.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Pedestrian graph +: A fast pedestrian crossing prediction model based on graph convolutional networks

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.143086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 311116e4-5ac7-40f2-abe1-d676710958e0 · outbound

This paper cites St cross- ingpose: A spatial-temporal graph convolutional network for skeleton- based pedestrian crossing intention prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues St cross- ingpose: A spatial-temporal graph convolutional network for skeleton- based pedestrian crossing intention prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.122366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7eb3bf88-4791-473d-b572-37bd297b0ffd · outbound

This paper cites Pit: Progressive interaction transformer for pedestrian crossing intention prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Pit: Progressive interaction transformer for pedestrian crossing intention prediction

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.102444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a2202ff-0452-4d8d-a250-c6769b3f62b7 · outbound

This paper cites IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues IntFormer: Predicting pedestrian intention with the aid of the Transformer architecture

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:42.721236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30013173-8e2d-4bd9-9052-761c46394a6d · outbound

This paper cites Multi-input fusion for practical pedestrian intention prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Multi-input fusion for practical pedestrian intention prediction

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.082875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a4b6d00-7ac2-4067-a77d-6181dbaf8c2b · outbound

This paper cites Mcip: Multi-stream network for pedestrian crossing intention prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Mcip: Multi-stream network for pedestrian crossing intention prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.060484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ad55b0f5-960b-4119-95e3-3b05f7e8a084 · outbound

This paper cites GPT-4 Technical Report.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues GPT-4 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:42.735678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56615001-b359-4991-8388-fa5ae81c44ea · outbound

This paper cites Visual instruction tuning.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Visual instruction tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:42.741551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06713f6c-bdea-4027-8be7-cbf2fef2493f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues LLaMA: Open and Efficient Foundation Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:42.746267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43118ef7-50b4-4739-b8ca-8ed0aa49908f · outbound

This paper cites an unresolved cited work.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:07:43.028183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9e2c354-7181-4304-a8fd-b73f4f21bf68 · outbound

This paper cites GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues GPT-4V Takes the Wheel: Promises and Challenges for Pedestrian Behavior Prediction

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-15T18:07:42.835595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d40db08-b0ec-49b7-b8bf-882c2f8f91a9 · outbound

This paper cites Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Predicting pedestrian crossing intention with feature fusion and spatio-temporal attention

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:43.005860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c78d25c9-d830-4a76-bf63-dc32538967d9 · outbound

This paper cites Benchmark for evaluating pedestrian action prediction.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues Benchmark for evaluating pedestrian action prediction

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T18:07:42.770137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0427b0a-b3a7-4748-ac8c-3159ed965c5c · outbound

This paper cites ”Role play with large language models.” Nature 623, no.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues ”Role play with large language models.” Nature 623, no

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:42.965768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 035527af-9384-47f2-bef9-3b18660b9c96 · outbound

This paper cites ”Towards revealing the mystery behind chain of thought: a theoretical perspective.” Advances in Neural Information Processing Systems 36 (2023): 70757-70798.

Seeing Beyond Frames: Zero-Shot Pedestrian Intention Prediction with Raw Temporal Video and Multimodal Cues ”Towards revealing the mystery behind chain of thought: a theoretical perspective.” Advances in Neural Information Processing Systems 36 (2023): 70757-70798

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:07:42.949345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.