Pith. sign in

Paper Citation Record · LEDGER

HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation 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 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:44.000451Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:50:44.314610Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact2
  • verified fuzzy45
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.392037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.625565Z digest=sha256:f5ba1d7bb83bf89ec56b92d4a7435055081724dc25144246ff134bb76cf315e4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.381702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.629550Z digest=sha256:c47c76c23911c0d7e4b73d5269b4e5f1fcd9b4deaf0c6c92bbad8338fcaf6d5e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.369568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.633239Z digest=sha256:87b3ac5a18a8608416a6009f6c8ad22b18b0b5866016c05638493aaf06097262

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.358675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.636717Z digest=sha256:8aa91a916e062ab740119ee2247b760cbaa5213f32f230e0ef812b6672db7235

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.347723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.640397Z digest=sha256:244f623c47e5a34b5fc51a1eabfdcab496c25d41be19ed12be0068ef7a9b8564

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.336791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.643538Z digest=sha256:313c23450be8e06a92cf4158fda1ec4ba1c8f71fbbe0b66534baa954f69d30b9

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.326254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.647193Z digest=sha256:66be21a1ada8b9063044581934aed1bcf06cc509ea72fa92dd6a13b14b405a9e

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.650339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.650339Z digest=sha256:fdba820596136c862101490647e39418a15fed6e012b72fb02b0f26d3e699372

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.309576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.653625Z digest=sha256:2ba7bf14f49f5878d40273e86f943d0874c977f59a8cf2bea42abd9820b79422

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.656639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.656639Z digest=sha256:687cdb7aa4e32dc35193d7c728dd9f0daf0e09db71de5386055003baa795a770

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.292900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.659791Z digest=sha256:c81ffb52cfef9d01983bff32b75f48805f196f8df076d76c454c9a42b4ab5a36

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.282557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.662934Z digest=sha256:88676a411722a1139aadf8c12db3a2ea51d9f012b278b4c50a4a55cad3a752e5

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.273196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.666336Z digest=sha256:a80e955392a5f33e47650e5dbbab6c87e9d53183bd3209eb16c5fa6c3e15676d

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.263214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.669390Z digest=sha256:56c50323a8440fc12680389be1dc9c5f4b52e6803b421fad5f029110dff9f4e8

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.253635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.672533Z digest=sha256:65a8abdd9cb359cf159ace7746baed2a71361647850fadf77494ec2355af7cd0

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.243528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.675641Z digest=sha256:0197cae784c6264c865b197e2e1572953ae32745582fcc846f219ce8ed204c0d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.233211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.678539Z digest=sha256:d3d85c7a427796074ffe9e94887fcb56b7dd37ae9e366313fef1de2299a37168

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.223103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.681543Z digest=sha256:de63e8d83ebca9fb6a0aa6662c4828b971f620bc02c4177df52c9b0af1f932af

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.684649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.684649Z digest=sha256:e0f5c4fd4b53db55827f492adf900e02452914ab6d918a888eed454992a03d3e

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.212339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.687984Z digest=sha256:f4c5d04536e8abd40140137a3fd511d1b8261342870302b2e295e23ae48ad356

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.201942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.691172Z digest=sha256:0deaf25801691dc23865dc209882d41640c825678f55f881d35408da153bc611

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.191231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.694326Z digest=sha256:ae01d2a223df4877353dd4ce8d020f9628799716ddef9f07191790d46391f3f8

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.179420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.697499Z digest=sha256:45a1b69ae78edaa27f642b72254d0f611156b6ec247363359f506d2698ce2df7

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.167980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.700453Z digest=sha256:47e36cc18acc199da84b3b8bad19dd767c2a74057a3494a205e0695f916511c8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.156650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.703973Z digest=sha256:33b7d4437bb621d199fc21a92ea215b53ee737fff8257a6c04037c0abb748873

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.145820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.706987Z digest=sha256:8393bf7f6c36de4aa854e577b2767bef8879f6939e6fcb94feb6d8bfb8060e82

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
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.134126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.709978Z digest=sha256:4b2691658f7b5b3d7e68530b2a5ae2d47bf4d249e28e178e2e33c4dec42b9138

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.121622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.713154Z digest=sha256:584c314b5107fcb8e1c885c83349ba9ceebc2029bb0ed1e4d7d2c1024e44ebc3

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.716455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.716455Z digest=sha256:a839e9bf3b975e5cddadb771a5e61de8a100b0c170a211b5ac7269a4b415ee2f

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.719560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.719560Z digest=sha256:04418bdefe4bc52deb2b4be82b18fa2cd286cc8604290803ecaf118cce73aab0

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.723112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.723112Z digest=sha256:ffbf5efa870f56550fc3aa5b2ea65134971a18c78187051a735db7b69a56a4d7

Observation 88ef27fa-b2d3-4130-b70a-3b1999f51b22 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.096830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.726132Z digest=sha256:6a466ae195e955ced678bb5b921b76e637d80ddb9f39d78c3fe514e537294e0b

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

Resolution
unresolved
no resolver link, observed 2026-08-12T11:40:11.729141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:40:11.729141Z digest=sha256:d6169b3a37e022f83e0b73c08a68a8768d8a1afcd783e45aa99292e41e762ac1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:40:12.079157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.732293Z digest=sha256:b2da9cd003452aa17ca0001d9ce6d21de5004aa1930b72e17ad4b18aa9328a54

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.735700Z digest=sha256:4aad8533c27205500f22d16c842914ee18734beb484724a6f77f9a00012d2562

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.738760Z digest=sha256:632deca08f9ef3544a1962d06cf813dcbf555e49f6a47bc7d10fd8e301308218

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:c93a7e66d866db2a389858d7e280fa20e4b623bfdaaa3451e8f6496d67bc3539

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.745174Z digest=sha256:b6efb1c08279786cb256924ddcf32d7507ec4c8cd6dce36806d9eaf1ece4208c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.748488Z digest=sha256:fdd176b715c54cd0c547ef25cd053fa27a9748c29f0461a2a083594ca4b042b0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.751749Z digest=sha256:3291a8fbeb4d5dd0bee78c12b2149b27bf7ddd9299a48344235e709b94efce72

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.755047Z digest=sha256:86c92f62cd5be015d30922f30797b7359d86f0177a93c3e315b023ea7d21d2e0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.758254Z digest=sha256:ef5a16c1735d1cf7f31b6386072664086a583b257f38f76efbb8042569edfa3e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.761527Z digest=sha256:260d04b5b60dfd3b5c65138af8f81cfed96ecd0c1234e3fb3766801232e782e3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.764843Z digest=sha256:4b73cfac05a9150fabc6cec69ad57ef59a3d7e7e2bd48882b63e14e991a835d1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.768319Z digest=sha256:341863fdf8ff4303b670de4554fd691c08fda29582b99e5f5bde406b071ca631

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.771576Z digest=sha256:6b0ae58f4dc31634955642bd079e163287a675f9baed4dff76146baa99e16f2f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.774727Z digest=sha256:a072558548fffdcc17452013dbbb6ca0b1b7c7fffc21b8fee5fd16b9ef8fc1bc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.777987Z digest=sha256:50467038eda2237de07fd3d4db5743ed3730624a5f1eea17aaa1570b2914dfbd

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.781122Z digest=sha256:0b872b49b463558dafc1e8c871b0f237607540f26a1e9d73c0590192c23a9b4c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.784273Z digest=sha256:7117216d2fc6384f080aceb3f7ce8ecd5c14df2b283add4a4e966eef0ba31916

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.787854Z digest=sha256:e9f1abfade19c46bc473bbb006a30612805e0db1201f9ac2f1c4e195ced980d5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.791005Z digest=sha256:9d936e9de991ede98f912772ffbbff52adf604196b5c80293596ccff4f70ead3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.794627Z digest=sha256:30299fb3c753260da4571e2c471fc59b4d4d62afa0f26302b161eb90a8c23f62

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.797897Z digest=sha256:43fff7f5e38d1c7246537895d2ad4f3860c664f94317d70d2cb67d4f16d569bb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T11:40:11.801366Z digest=sha256:950cc249a6a9c63722aef4ee7d49de223aebd84d1d6bdba3ef95eefda8419683

Pith citing papers

Observation 1b858b1f-bfeb-47f1-b0bd-5e31f8284cb9 · inbound

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes cites this paper.

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes HyperGLM: HyperGraph for Video Scene Graph Generation and Anticipation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:50:44.318336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T23:50:44.000451Z digest=sha256:db8dba572bcd8f33fa908c7fb2368477fe8822c60c5a8729825bf762bdcfa742