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Paper Citation Record · LEDGER

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation

As of 13 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2411.18042.

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

pith.paper-citation-record.v1
2411.18042 v2

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:40:11.801366Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

55 of 55 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 47065bf6-c82b-4a38-83cb-0cb97e130433 · outbound

This paper cites Hypergraph convolution and hypergraph attention.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Hypergraph convolution and hypergraph attention

Reference 1

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Observation 3fffe994-affe-4e0b-b88f-7f3aeef8e442 · outbound

This paper cites Videollm-online: Online video large language model for streaming video.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Videollm-online: Online video large language model for streaming video

Reference 2

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Source-reported events for the cited work

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Observation e57cda53-1446-4962-940d-9e02f05f2b2b · outbound

This paper cites More knowledge, less bias: Unbiasing scene graph generation with explicit ontological adjustment.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation More knowledge, less bias: Unbiasing scene graph generation with explicit ontological adjustment

Reference 3

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Observation e2cc69d3-f843-4699-b747-efe145e9f620 · outbound

This paper cites Spatial-temporal transformer for dynamic scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Spatial-temporal transformer for dynamic scene graph generation

Reference 4

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Observation 2a51eb02-5c8e-44c1-822c-5f419c2817ab · outbound

This paper cites Ackermann, M.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Ackermann, M

Reference 5

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Source-reported events for the cited work

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Observation 3ce94ce0-09b0-488d-a642-7b18dc786a08 · outbound

This paper cites Reltr: Relation transformer for scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Reltr: Relation transformer for scene graph generation

Reference 6

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Source-reported events for the cited work

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Observation eae8c831-eb9e-4575-be7d-726f47a1e5f8 · outbound

This paper cites Hierarchical memory learning for fine-grained scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Hierarchical memory learning for fine-grained scene graph generation

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cb1589d1-b33d-4b17-a07c-1044dafb324e · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation An image is worth 16x16 words: Transformers for image recognition at scale

Reference 8

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Source-reported events for the cited work

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Observation 624edd82-801d-4d26-9f0a-eebc06b1ba41 · outbound

This paper cites Scenegenie: Scene graph guided diffusion models for image synthesis.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Scenegenie: Scene graph guided diffusion models for image synthesis

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c02c7e11-a034-4c46-a231-70cf92943165 · outbound

This paper cites Video-of-thought: Step-by-step video reasoning from perception to cognition.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Video-of-thought: Step-by-step video reasoning from perception to cognition

Reference 10

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Observation a1d631bd-6223-43e4-b95d-70028c99abf9 · outbound

This paper cites Exploiting long-term de- pendencies for generating dynamic scene graphs.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Exploiting long-term de- pendencies for generating dynamic scene graphs

Reference 11

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Observation e3c3b222-8cc9-4a68-b00a-4a108bac65f7 · outbound

This paper cites Hgnn+: General hypergraph neural networks.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Hgnn+: General hypergraph neural networks

Reference 12

Resolution
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Source-reported events for the cited work

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Observation abb515da-5988-445a-9e06-a141f4cdf504 · outbound

This paper cites Dsgg: Dense relation transformer for an end-to-end scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Dsgg: Dense relation transformer for an end-to-end scene graph generation

Reference 13

Resolution
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Source-reported events for the cited work

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Observation 3a282eb0-6309-40d6-b19c-0668cc00aebc · outbound

This paper cites Ma-lmm: Memory-augmented large multimodal model for long-term video understanding.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Ma-lmm: Memory-augmented large multimodal model for long-term video understanding

Reference 14

Resolution
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Source-reported events for the cited work

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Observation 35f44b0c-252b-41e2-91aa-b900a58ab44e · outbound

This paper cites To- wards open-vocabulary scene graph generation with prompt- based finetuning.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation To- wards open-vocabulary scene graph generation with prompt- based finetuning

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fce694f8-487c-4612-8ebe-41fdc8973608 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation LoRA: Low-rank adaptation of large language models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation dd832ab9-00e4-405c-89a0-d5c5ff3fa723 · outbound

This paper cites Egtr: Extracting graph from transformer for scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Egtr: Extracting graph from transformer for scene graph generation

Reference 17

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Source-reported events for the cited work

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Observation dbb05071-bc4c-4093-88b6-3401cf45f503 · outbound

This paper cites Action genome: Actions as compositions of spatio- temporal scene graphs.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Action genome: Actions as compositions of spatio- temporal scene graphs

Reference 18

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Source-reported events for the cited work

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Observation 1a81f79c-35ab-4c20-9abe-4c77757cc8fe · outbound

This paper cites Mistral 7B.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Mistral 7B

Reference 19

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Source-reported events for the cited work

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Observation 69bff302-d15e-4f3a-a07b-8902f6468fe0 · outbound

This paper cites Chat-univi: Unified visual representation em- powers large language models with image and video un- derstanding.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Chat-univi: Unified visual representation em- powers large language models with image and video un- derstanding

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation af617414-a1fa-4627-9ede-42e9f586d84f · outbound

This paper cites Fast contextual scene graph generation with unbiased context aug- mentation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Fast contextual scene graph generation with unbiased context aug- mentation

Reference 21

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e0a53f0f-6f68-4fdb-9fce-b20b3af2ddce · outbound

This paper cites Hypergraph attention networks for multimodal learning.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Hypergraph attention networks for multimodal learning

Reference 22

Resolution
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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation be49426a-84ad-495c-b1e9-a4722b4eaf12 · outbound

This paper cites Llm4sgg: Large language models for weakly supervised scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Llm4sgg: Large language models for weakly supervised scene graph generation

Reference 23

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Source-reported events for the cited work

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Observation ed214bf8-3954-4a29-8a1d-78e67a529f69 · outbound

This paper cites Meltr: Meta loss transformer for learning to fine-tune video foundation models.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Meltr: Meta loss transformer for learning to fine-tune video foundation models

Reference 24

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Observation 122f1242-8c7f-46a9-b262-f5d27a22d05a · outbound

This paper cites Is-ggt: Iter- ative scene graph generation with generative transformers.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Is-ggt: Iter- ative scene graph generation with generative transformers

Reference 25

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Observation 14d346c6-e123-4ec5-a6ad-dccb7e176c8e · outbound

This paper cites Sgtr: End-to- end scene graph generation with transformer.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Sgtr: End-to- end scene graph generation with transformer

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 678fdedf-9106-4dcc-bb01-31ad0f8c83ad · outbound

This paper cites From pixels to graphs: Open-vocabulary scene graph generation with vision-language models.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation From pixels to graphs: Open-vocabulary scene graph generation with vision-language models

Reference 27

Resolution
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Source-reported events for the cited work

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Observation c653be38-eeb2-413e-9ae3-b5fc4bf7e91f · outbound

This paper cites Multi-hyperedge hypergraph for group activity recog- nition.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Multi-hyperedge hypergraph for group activity recog- nition

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 3dd7730f-4d50-4014-b593-ade9d5efe097 · outbound

This paper cites Llama-vid: An im- age is worth 2 tokens in large language models.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Llama-vid: An im- age is worth 2 tokens in large language models

Reference 29

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Source-reported events for the cited work

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Observation e9a5e21d-2e42-4b47-b768-946cb4341916 · outbound

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

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 30

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Source-reported events for the cited work

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Observation c6ffef97-4752-4e00-aeba-5952917530bc · outbound

This paper cites Visual instruction tuning.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Visual instruction tuning

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Video-ChatGPT: Towards detailed video un- derstanding via large vision and language models.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Video-ChatGPT: Towards detailed video un- derstanding via large vision and language models

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c2b6801f-8bbe-4f0c-b60e-832c028e9862 · outbound

This paper cites Unbiased scene graph generation in videos.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Unbiased scene graph generation in videos

Reference 33

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Source-reported events for the cited work

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Observation e71a3228-b3b2-4a8a-aa8b-b1d050f1bdf9 · outbound

This paper cites Hig: Hier- archical interlacement graph approach to scene graph genera- tion in video understanding.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Hig: Hier- archical interlacement graph approach to scene graph genera- tion in video understanding

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 6dc50a18-e6fe-471f-bd90-5d1782f195ab · outbound

This paper cites CYCLO: Cyclic graph transformer approach to multi-object relationship modeling in aerial videos.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation CYCLO: Cyclic graph transformer approach to multi-object relationship modeling in aerial videos

Reference 35

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raw_fallback, observed 2026-08-12T11:40:12.068554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 632c9d99-f2d7-4fd6-826e-b8b36c51dcb5 · outbound

This paper cites Towards scene graph anticipation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Towards scene graph anticipation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.058213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.738760Z digest=sha256:aa5dae955fa28e97c7a774bd097c4ac8206685940cd366cc8eee2b97c1595fe6

Observation e6aa5901-1745-4fa5-adce-ec8adc53a763 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Learning transferable visual models from natural language supervi- sion

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.742043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.742043Z digest=sha256:2d5819e4c7b5bb55975373d054d2b443077098e8b92a15d2c4889f937e5fb5ad

Observation a4b17a51-1bd6-499c-aa56-5f99904911c1 · outbound

This paper cites End-to-end generative pretraining for mul- timodal video captioning.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation End-to-end generative pretraining for mul- timodal video captioning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.041092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.745174Z digest=sha256:64d42aa5a2f5f742acfb9a031c7b29eb7d10e86d711eb737e88d1f75c9b59923

Observation 04acd1ce-0c51-4757-b1f8-f9aedbac0671 · outbound

This paper cites Video visual relation detection via iterative inference.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Video visual relation detection via iterative inference

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.031049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.748488Z digest=sha256:c4e4875c580303c4e54315fb516bcea39a3aaefd1e0cc63e506343ba0ea272fa

Observation 9d8f892a-9069-4d49-8684-7cbfe8e12d83 · outbound

This paper cites Accurate and fast compressed video captioning.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Accurate and fast compressed video captioning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.020659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.751749Z digest=sha256:05e248cb1a44f9a86759108d83092af91cea11d53ed0de697e072e793d5e0e8d

Observation d58efe02-a84b-40a5-b2f8-2be33f1eb6e5 · outbound

This paper cites Moviechat: From dense token to sparse memory for long video understanding.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Moviechat: From dense token to sparse memory for long video understanding

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.010721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.755047Z digest=sha256:08bcf39928795533ab4e1762118b37828909fec3d8b59d7181217f88ea029029

Observation 46e1f0bf-d5b5-464a-90e9-448b0d6fa014 · outbound

This paper cites Target adaptive context aggregation for video scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Target adaptive context aggregation for video scene graph generation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.000180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.758254Z digest=sha256:e886a39698c0851f33168d0c007b17c2357ebc2081a11cd5a43f4f72898e08dc

Observation f155b570-1bb0-4e87-87c8-fc5eac1d0210 · outbound

This paper cites Graph (graph): A nested graph-based framework for early accident anticipation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Graph (graph): A nested graph-based framework for early accident anticipation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.989815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.761527Z digest=sha256:8cd5551cefb754a2cc344a70349d58efa6d0aa0aba371bb11f6e109fb993242f

Observation c263d043-ef2f-4707-9e70-cc2bf9417461 · outbound

This paper cites Learn- ing situation hyper-graphs for video question answering.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Learn- ing situation hyper-graphs for video question answering

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.978542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.764843Z digest=sha256:ad6bfb4cfcc6cc87169c68bbe678809f77f3481ca5310fb556127e599d3c938f

Observation 7d11a638-a48c-4f40-87c3-ffe7d109c8cd · outbound

This paper cites Memory-and-anticipation transformer for online action understanding.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Memory-and-anticipation transformer for online action understanding

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.967979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.768319Z digest=sha256:b3c8d210d0d4662d7e66a59bb58fd91d09de168d0bc4ce192f5f35092402ddd1

Observation 00d9865b-6361-4fb8-a353-973ec02d85f1 · outbound

This paper cites Multi-object event graph repre- sentation learning for video question answering.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Multi-object event graph repre- sentation learning for video question answering

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.957733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.771576Z digest=sha256:97d8cf50d6536a088a53a54dc9bd75cd49dbf3cd93773827a0e86168fde25c8a

Observation 57976c3d-6af9-4e07-a3a9-d08a700d8591 · outbound

This paper cites Sportshhi: A dataset for human-human interaction detection in sports videos.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Sportshhi: A dataset for human-human interaction detection in sports videos

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.947740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.774727Z digest=sha256:1d84cfbe4af16f71654c71bec3c6d32e9940d5e0ad7e20872b143c4ad8cf0570

Observation c78aff94-a7f9-433b-bc76-f0b170dc9cf1 · outbound

This paper cites Video question answering via gradually refined attention over appearance and motion.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Video question answering via gradually refined attention over appearance and motion

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.937103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.777987Z digest=sha256:2aa923b77ca364781b74cacb6b38c68b0545c5a4b5c76301e395db5856e987f1

Observation 7df030ff-5c41-4ee2-853d-b5466221abbc · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Msr-vtt: A large video description dataset for bridging video and language

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.925868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.781122Z digest=sha256:57ecb57fd2cdc84a8ee82d1b800d4901f8d6718f95286a5be69d32ebf6d7b388

Observation dd1b7835-bca9-40df-affc-aefa92f06ec2 · outbound

This paper cites Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Modeling Semantic Composition with Syntactic Hypergraph for Video Question Answering

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:40:11.851397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.784273Z digest=sha256:73c6aefafa82d9ba0f80bc9e8bfad906513905bf31da58db96aad31902a34072

Observation 94a755fd-e3eb-4251-a8da-e815d2573e0b · outbound

This paper cites Panoptic scene graph gen- eration.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Panoptic scene graph gen- eration

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.915015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.787854Z digest=sha256:60488d1da6a01286c2aa379b5f864a86e2fe5a97922f4db9aa189171ff79d347

Observation f8d8afc5-4a8d-44ef-bfa8-e264f5a645e9 · outbound

This paper cites Panoptic video scene graph generation.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Panoptic video scene graph generation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.904504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.791005Z digest=sha256:ff20cd382a2610672e6b730aaeb9911d879eea0f38ddcf5835d09170b0bbb835

Observation d433d7f4-a8b1-45cd-ba43-38688d6b0d7e · outbound

This paper cites Com- monscenes: Generating commonsense 3d indoor scenes with scene graphs.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Com- monscenes: Generating commonsense 3d indoor scenes with scene graphs

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.894101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.794627Z digest=sha256:c75ecb4dca02da1f966d08fe65925b4f51cca3522d05596f75aba1d1dafa6843

Observation 0296fca6-0715-471a-82e8-c6feebf07dc0 · outbound

This paper cites Deep Hypergraph Structure Learning.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Deep Hypergraph Structure Learning

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-12T11:40:11.836662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.797897Z digest=sha256:1d25c468e10bf16f4927febd713cd6738a170217fd7470c4ee78cc27fae2f7b8

Observation 90307944-824b-4c20-ab2b-c6dfddcb7f3e · outbound

This paper cites Dynamical attention hypergraph convolutional network for group activity recognition.

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation Dynamical attention hypergraph convolutional network for group activity recognition

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:11.883196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T11:40:11.801366Z digest=sha256:82215e731ff7e63cb87d429d0adc0b69f6d5ab947d52ec5509234cbc2669b94c

Pith citing papers

No inbound Pith citation observations are available.