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Paper Citation Record · LEDGER

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2509.09210.

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

pith.paper-citation-record.v1
2509.09210 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:34:05.275292Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fb79509-b7b7-4481-a8bc-989cf66a8693 · outbound

This paper cites write newline.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting write newline

Reference 1

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no resolver link, observed 2026-08-04T19:34:00.582023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.582023Z digest=sha256:ecb14b493cd84085e8bc8352b0d1cd0e0c4fe5746394196f8fd2d36d017bf2f9

Observation a0359391-7c45-4a94-ad1b-6eae8595b34c · outbound

This paper cites , author Liu, W.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Liu, W

Reference 2

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no resolver link, observed 2026-08-04T19:34:00.640460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.640460Z digest=sha256:7a9c6c262a7878b98fce9499bfe909dc9bfb9289ef8d375c3f8408038e55b7fb

Observation c1aa6c9e-389d-41ca-ac68-6583b2c7438e · outbound

This paper cites , author Boukerche, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Boukerche, A

Reference 3

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no resolver link, observed 2026-08-04T19:34:00.734466Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.734466Z digest=sha256:29474879e8a764b9b5994b6f9420ca634bde604db0f56dcfa9123162f207b562

Observation 2462c97d-07ca-4f30-877d-d8355a252312 · outbound

This paper cites , author Krizhevsky, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Krizhevsky, A

Reference 4

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no resolver link, observed 2026-08-04T19:34:00.801569Z

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source=arxiv_source observed=2026-08-04T19:34:00.801569Z digest=sha256:3be8e0588e29a98e0207a68f2a700b1a8c068de31fbaccf7a0cb971c92f0546f

Observation d192a404-4c21-4072-b3ef-0964b6c6778d · outbound

This paper cites , author Gulino, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Gulino, C

Reference 5

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no resolver link, observed 2026-08-04T19:34:00.850391Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.850391Z digest=sha256:2b8e33de9a4ff12c2b8d5fc1f9a3e79693dbaf6d75b349911f6bac48371396ce

Observation a169fb12-ecf1-43c6-b21e-532e21160155 · outbound

This paper cites , author Luo, W.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Luo, W

Reference 6

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no resolver link, observed 2026-08-04T19:34:00.921228Z

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source=arxiv_source observed=2026-08-04T19:34:00.921228Z digest=sha256:35389e9cfea87f46601a1721b4b83fba2d54a0de12d0c514edb275d25a0e6ffc

Observation ca77cd94-b75d-4fb5-987d-a004819ad97e · outbound

This paper cites , author Sapp, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sapp, B

Reference 7

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no resolver link, observed 2026-08-04T19:34:00.985749Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:00.985749Z digest=sha256:a3039472619cd3ca00ed7d75e891757b468e23c79125bd7ea4af6cda6eace2fc

Observation e6715b94-d9fc-4c89-ad33-779eb7ef31ce · outbound

This paper cites , author Wang, J.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wang, J

Reference 8

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no resolver link, observed 2026-08-04T19:34:01.018514Z

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source=arxiv_source observed=2026-08-04T19:34:01.018514Z digest=sha256:e7e65081b901ccd902d3fd6395829c57aa0f8692467264c88f5a81ae9905cb5a

Observation 72eea255-5516-4a73-b68e-50e4cc4cb964 · outbound

This paper cites , author Mei, X.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Mei, X

Reference 9

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no resolver link, observed 2026-08-04T19:34:01.079526Z

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source=arxiv_source observed=2026-08-04T19:34:01.079526Z digest=sha256:a26b4ebb49c9c8bc8184c90c845b9de1328f27a89344ae9ba721643b0d505674

Observation 2f2775ac-fe85-4acf-8945-8e4208e472dc · outbound

This paper cites , author Radosavljevic, V.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Radosavljevic, V

Reference 10

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no resolver link, observed 2026-08-04T19:34:01.138242Z

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source=arxiv_source observed=2026-08-04T19:34:01.138242Z digest=sha256:0efbd27d6665134a43311f0052f29d02af16d87150aec5c78eb1fd7b0d8f5904

Observation 3b3f53aa-2e12-4dcb-9fdb-d99bdf395eb9 · outbound

This paper cites , author Zhou, H.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Zhou, H

Reference 11

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source=arxiv_source observed=2026-08-04T19:34:01.212467Z digest=sha256:532d9314ec87ed3cc605885eb5f0cbf5f7d5a22d9b3c87b43cfb19881f228bfe

Observation 0a21abfd-f4fe-43b9-a9db-aeb90c68277a · outbound

This paper cites , author Sun, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sun, C

Reference 12

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no resolver link, observed 2026-08-04T19:34:01.283232Z

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source=arxiv_source observed=2026-08-04T19:34:01.283232Z digest=sha256:23be16ee8cefc3191d325e84d8564b7fda9313416c7c5d4fb2d2b2cb025282ed

Observation 6e852bc1-dced-49a9-8348-e4dbf91f1aa5 · outbound

This paper cites , author Jia, X.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Jia, X

Reference 13

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source=arxiv_source observed=2026-08-04T19:34:01.335872Z digest=sha256:960f423f7ab789f10f2d1c4849b6e11e07288fb478d28b32d6eca082ee84a884

Observation 0cc3e48f-097b-4eb0-8530-1c2d920c6d5e · outbound

This paper cites , author Sabatini, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sabatini, S

Reference 14

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no resolver link, observed 2026-08-04T19:34:01.423518Z

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source=arxiv_source observed=2026-08-04T19:34:01.423518Z digest=sha256:20e502f32534ad283d2a7a2c5d3f4ceeb75ed72c4fdf4ef506f89a6da8e7fcea

Observation cd67f987-c17b-47cf-9102-1b9a0d239beb · outbound

This paper cites , author Sabatini, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sabatini, S

Reference 15

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no resolver link, observed 2026-08-04T19:34:01.599339Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:01.599339Z digest=sha256:425eea8382f1eec4e3756adc6bff7d1aa4efdc55e47f7cf12013e1db845def49

Observation 81f9252b-8914-4614-8647-ed6dcc364c05 · outbound

This paper cites , author Schoenholz, S.S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Schoenholz, S.S

Reference 16

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no resolver link, observed 2026-08-04T19:34:01.669149Z

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source=arxiv_source observed=2026-08-04T19:34:01.669149Z digest=sha256:3a25aea44cb25b4819ce9d572a828fea18b466e6f61c6f150fa59ba6dbac312a

Observation 4d63cec9-7875-4494-a03c-da505491ac04 · outbound

This paper cites , author Golemo, F.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Golemo, F

Reference 17

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no resolver link, observed 2026-08-04T19:34:01.719708Z

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source=arxiv_source observed=2026-08-04T19:34:01.719708Z digest=sha256:f0d84590acd9bf25cee94c3e21f4eeb49dc36c15f333e04cda4d2e09ace42389

Observation 733cb0c1-d7c4-4994-ae4a-60c4255fd7b9 · outbound

This paper cites , author Sun, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sun, C

Reference 18

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source=arxiv_source observed=2026-08-04T19:34:01.916955Z digest=sha256:4262f4fdc860b12e3cc2fba0a3a225bdff920d146f081ebea62255c353484faa

Observation 8f1bcbd8-e57f-4da0-a5b8-599630963b19 · outbound

This paper cites , author Ying, Z.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ying, Z

Reference 19

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source=arxiv_source observed=2026-08-04T19:34:01.996740Z digest=sha256:be4cbb6614ab7c542399f1a9f8a66298bb023a0072fe38859135ea83e2da0637

Observation 0453be68-5db9-4b89-b9be-30da5aa6e043 · outbound

This paper cites , author Sapp, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sapp, B

Reference 20

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source=arxiv_source observed=2026-08-04T19:34:02.061319Z digest=sha256:9ab4665196d8363706c76dc69f21a6c090db0732a4948babea810322b7e2628b

Observation 95ec6081-134c-4125-a050-730f98a985b7 · outbound

This paper cites , author Wu, P.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wu, P

Reference 21

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source=arxiv_source observed=2026-08-04T19:34:02.189414Z digest=sha256:98b2bcb19c104b8365264057e7d814c882bbb2c0e79389d793dd7fd51863ca10

Observation 46dbdadc-ed78-434c-b68a-b1cd78068a9a · outbound

This paper cites , author Cornman, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Cornman, A

Reference 22

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source=arxiv_source observed=2026-08-04T19:34:02.239313Z digest=sha256:22a4272768e35d2a0e3a008427fcf0ef02571f1b30f26550328fc8425c276a35

Observation 7c8406b5-f71e-402f-8dcc-144f1520a1d1 · outbound

This paper cites , author Wang, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wang, S

Reference 23

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source=arxiv_source observed=2026-08-04T19:34:02.302931Z digest=sha256:8fb515b6ec31f6c4726b6213bb0f393c413259d4d7830377ebd430a0b3cef6bc

Observation 968128be-06fe-4b23-98c9-f64e1466f6e5 · outbound

This paper cites , author Ba, J.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ba, J

Reference 24

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source=arxiv_source observed=2026-08-04T19:34:02.357919Z digest=sha256:ad891c3b20a8e14516615a67cb4ff1a8e04d61b25c6e6c7970e097f315ef7de4

Observation eec6f5be-ba8d-4cb6-b0ac-bd93cea16948 · outbound

This paper cites Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Multi-modal Integrated Prediction and Decision-making with Adaptive Interaction Modality Explorations

Reference 25

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source=arxiv_source observed=2026-08-04T19:34:02.430592Z digest=sha256:057e9bd8fb45361218f2222b9abe3db8ee99128f48c7d253f624d05c27c35d49

Observation 160de79c-8b51-4c32-ac8b-f424e2dfae95 · outbound

This paper cites , author Yang, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Yang, B

Reference 26

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source=arxiv_source observed=2026-08-04T19:34:02.600064Z digest=sha256:3c78051f583c5d5dcafed718aa3042fdfcf1049881357fbf8dcffd4ca8aa4d47

Observation 75c35831-534b-4e1d-97fe-c6b2563f1516 · outbound

This paper cites , author Park, C.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Park, C

Reference 27

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source=arxiv_source observed=2026-08-04T19:34:02.712027Z digest=sha256:82ea391b43eb73597758e66e259812e1cc7b9a3e920c6b1aa0a81017fd39b460

Observation 3674b12b-4e57-42ec-82d3-5bbbcb7bd150 · outbound

This paper cites , author Huang, Z.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Huang, Z

Reference 28

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source=arxiv_source observed=2026-08-04T19:34:02.856856Z digest=sha256:b21fb7c821385909b5870616c46fc93d46bbc3e9d51bb4c5b67659d33b4d1c6c

Observation 76616868-eb33-4d79-aa75-85f227325705 · outbound

This paper cites ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction

Reference 29

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source=arxiv_source observed=2026-08-04T19:34:03.010599Z digest=sha256:f49d86da73927fcc10ea94bde30e7a2bc90f92fcb24769180095e6724518aa29

Observation b42235aa-eeec-4532-bf2c-1990c7b82500 · outbound

This paper cites , author Al-Rfou, R.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Al-Rfou, R

Reference 30

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source=arxiv_source observed=2026-08-04T19:34:03.152182Z digest=sha256:7474ccb0692f7a41a03c322f44d78b45a7c465a223136d746bec1c26b53842f9

Observation c164c609-9896-4bec-9de2-69950fec363a · outbound

This paper cites , author Vasudevan, V.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Vasudevan, V

Reference 31

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source=arxiv_source observed=2026-08-04T19:34:03.272939Z digest=sha256:e043f1caf8d8b2d61493e99c1fe09a6f16a7c4280ce5c6d8691780f342abc97a

Observation 67961727-ddbd-4ac7-9403-c36569eca530 · outbound

This paper cites , et al., year 2017.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , et al., year 2017

Reference 32

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source=arxiv_source observed=2026-08-04T19:34:03.402405Z digest=sha256:4eb0f61303949a38c73fb82509f01d7a3864d5ccd2246ec6344575fbaa5fa72e

Observation 89b4ed08-d52f-41d5-b014-ce5cd44dbde7 · outbound

This paper cites , author Ethier, M.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ethier, M

Reference 33

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source=arxiv_source observed=2026-08-04T19:34:03.515987Z digest=sha256:4c541e646db8aeeca456b4fc631bdcd9e3cecb39ac56e3858d18591ab6632483

Observation fa002f0d-2a97-4cc4-abb5-3db7fea40e3a · outbound

This paper cites , author Cera, B.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Cera, B

Reference 34

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source=arxiv_source observed=2026-08-04T19:34:03.681965Z digest=sha256:bd2a7626a5ced23e25a1cb828c7d0a37e3c962caac53ad0c805c7c05e6be48ee

Observation 595c647e-8fad-4658-8bc1-c43c6d97c002 · outbound

This paper cites , author Jiang, L.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Jiang, L

Reference 35

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source=arxiv_source observed=2026-08-04T19:34:03.839988Z digest=sha256:c44ed89aecc2b7b6fbbae0df121711ecdad62f623601f87f6132632c7ea7a318

Observation 6bd25e6b-df9a-4589-ac19-da6a195e9e1d · outbound

This paper cites , author Huang, X.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Huang, X

Reference 36

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source=arxiv_source observed=2026-08-04T19:34:03.908613Z digest=sha256:f760deaaed4053d17944866794ddcffda95c6aa01a097eb03606491f7d2c62d9

Observation 968157de-d4ee-4e40-8e02-141dee558cb9 · outbound

This paper cites , author Regalado, S.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Regalado, S

Reference 37

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source=arxiv_source observed=2026-08-04T19:34:04.014046Z digest=sha256:710ac4c0327f4c3d75eead58ecbe4a17435cac09ed73c1258f166a629f057cd0

Observation b74674db-c1f5-4892-b76c-560c7781f012 · outbound

This paper cites , author Sun, W.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Sun, W

Reference 38

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source=arxiv_source observed=2026-08-04T19:34:04.088295Z digest=sha256:c04320064ce688b5f348bf7d18be0ed89449dbe18a5732ed0b628d024136f909

Observation f2126b3f-c17b-453b-bed1-3574957e054f · outbound

This paper cites , author Hefny, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Hefny, A

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.215871Z digest=sha256:771ff6b5851f53fc991d65ee45f1ec5a70e321c291c0e8e1359c3b95a377e75c

Observation dda88e28-78df-4c61-9aef-0fba0757d2a1 · outbound

This paper cites Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting

Reference 40

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no resolver link, observed 2026-08-04T19:34:04.361016Z

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source=arxiv_source observed=2026-08-04T19:34:04.361016Z digest=sha256:d9e49187e9add91e4861b9bd62f2bf27b51c5a188eac5267cae2c992068cff89

Observation 04a51868-1a9e-4733-a91a-d06883744357 · outbound

This paper cites , author Chu, D.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Chu, D

Reference 41

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no resolver link, observed 2026-08-04T19:34:04.536063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.536063Z digest=sha256:77e28dc1a2bff6db2f721d614f984e639047d6b1f844a25a86faa44ff457097a

Observation 03de79af-6ffc-4736-95f9-22e3c32fda3f · outbound

This paper cites , author Cao, T.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Cao, T

Reference 42

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no resolver link, observed 2026-08-04T19:34:04.652121Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T19:34:04.652121Z digest=sha256:1b016ed31ba9b4f71beba35e772e1cae7540221007a64ea8bcc21215a9c626d9

Observation ef657d08-ba75-4bbd-a254-21e220c85845 · outbound

This paper cites Bootstrap Motion Forecasting With Self-Consistent Constraints.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting Bootstrap Motion Forecasting With Self-Consistent Constraints

Reference 43

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no resolver link, observed 2026-08-04T19:34:04.801632Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T19:34:04.801632Z digest=sha256:b065c82081667b07cbdfb0a0c39d01f8aa610396202554a72e397da499c18119

Observation b98cf5d6-b352-42c2-aa2e-6b202d0a6f96 · outbound

This paper cites , author Liang, M.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Liang, M

Reference 44

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no resolver link, observed 2026-08-04T19:34:04.922460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:04.922460Z digest=sha256:394fa86d92b805e74b4acf3b9086f536a86824369eff0f9b182999d614496ff9

Observation ea625639-b3ba-4723-b35d-d5fb3d170ae4 · outbound

This paper cites INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Reference 45

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no resolver link, observed 2026-08-04T19:34:05.052493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.052493Z digest=sha256:a6b92099432b3c4d9d3f865d3cfd50ca3036a6445aa47d0800c47fa8d705c36c

Observation c586b6d0-0231-4d9a-996e-0a5cd85bbf85 · outbound

This paper cites , author Fu, M.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Fu, M

Reference 46

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no resolver link, observed 2026-08-04T19:34:05.113305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.113305Z digest=sha256:0ccd82b502ec9f2b693a805950229f55c178f0e4f89fb257fe80d44880289ba0

Observation 5dfc8a8e-daf3-4ddc-ae07-c27de9fe97cf · outbound

This paper cites , author Liniger, A.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Liniger, A

Reference 47

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no resolver link, observed 2026-08-04T19:34:05.165641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.165641Z digest=sha256:06c9226f3571586c98ffbc672ea3000f42e9cbbbecd2dabdfabcd8d1a0b6dcdb

Observation b48023bc-68f7-47ea-bdd9-ddd0aa706263 · outbound

This paper cites , author Wang, J.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Wang, J

Reference 48

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no resolver link, observed 2026-08-04T19:34:05.212205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.212205Z digest=sha256:cdb374c82d555893bb549be8252688f6690cf06cedd1d3f284ea16ea32f4279d

Observation 91ddba51-5fa9-4e11-8e6c-165c5954f751 · outbound

This paper cites , author Ye, L.

ProgD: Progressive Multi-scale Decoding with Dynamic Graphs for Joint Multi-agent Motion Forecasting , author Ye, L

Reference 49

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unresolved
no resolver link, observed 2026-08-04T19:34:05.275292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:34:05.275292Z digest=sha256:899576833092f56929fea2130df971d06d1bbce2743fef53fef318d315f8cf1c

Pith citing papers

No inbound Pith citation observations are available.