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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 2026-08-13T06:32:02.005865+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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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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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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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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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

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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

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verified fuzzy
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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

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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

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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

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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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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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Source-reported events for the cited work

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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

Resolution
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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

Resolution
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Source-reported events for the cited work

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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

Resolution
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Source-reported events for the cited work

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

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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

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Source-reported events for the cited work

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

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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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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

Resolution
verified fuzzy
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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.735700Z digest=sha256:1b1163b0f91154916a650f90012a8a354fca4e6140e929f775e1e539a2de3358

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.738760Z digest=sha256:9af09128de86a6d83af876a6c916babfcd6fbcb76ac4f335753ca79cb39d5d05

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=sha256:4fe31356c898c64126da73eec517e483aa4d8cc504e63fb423f39912d9990433

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.745174Z digest=sha256:2d09e2512d5d712237b331c657e36b23b6207ad1038245222bf0e421aed81990

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.748488Z digest=sha256:a0b81f97f36b37317135d1f18345e1266645d5d0e16e52c3947317f971a45bc9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.751749Z digest=sha256:e70454a276830c39022dc9df907c6df9bfd28f2a7305f163e3c9b6283ac4d6bf

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.755047Z digest=sha256:2c8fb2b4ce4b451ad1d34ebad100f5c131697d835446df44893b5c18edcc5164

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.758254Z digest=sha256:b838844957b8d9bf8dda38b837e8b8a1601b5a99862ef36de2545b6f70a7f369

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.761527Z digest=sha256:7b892c007732665882541a0a86afc4733e42f6dadc5031e41cdb47ab761096e5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.764843Z digest=sha256:2024ea90146b9095eed93371b9e2ace9393b74d668787a05f3403b72adb7bff5

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.768319Z digest=sha256:0619843883399eafec909c411d76be8281f1c610412d4ada26abc93e18abf883

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.771576Z digest=sha256:35f6a2dfdc790e3f9136901a6677de5cbcd94c54c01f23ae9147c30301604958

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.774727Z digest=sha256:cb9ab3d2bbf814e4f7c12a332a36cce3b11a64b3a47b84cec7b9d65e90ccede6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.777987Z digest=sha256:8c036b82798a1b95e100d4ae75bdad6cb5106accbe0a63534040035578093ebd

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.781122Z digest=sha256:80225483c67cd2e035d304cbcc47b05bd9b6545472dc4b67a95b181426af458a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.784273Z digest=sha256:501d7be0a984d2c03ef99109ad66c21027482221f3cf1d4170c8ff3dd5782373

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.787854Z digest=sha256:79dfad020ec7ebc645be42f115b80733ff30a9da882f2bde63117740d3fad93a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.791005Z digest=sha256:31aa7abd2c8f6989bad083b94df2c6f47dd57a92c4c8d53877034953b8409250

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.794627Z digest=sha256:930fa3b4454b92e9d0bb2c2a43aa174826c8adefea6053de95819db2d3526808

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.797897Z digest=sha256:030af00d7219b7a337195a8e423ff033b7334c6d34be62200c7b33eb36f1a762

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:40:11.801366Z digest=sha256:622626c72ad5ecf18f02988f47f2d514bf04cbfa9e3f078992a6287196d2c6f3

Pith citing papers

No inbound Pith citation observations are available.